Researcher Profile and Settings

Master

Affiliation (Master)

• Research Faculty of Agriculture　Fundamental AgriScience Research　Bioresource and Environmental Engineering

Affiliation (Master)

• Research Faculty of Agriculture　Fundamental AgriScience Research　Bioresource and Environmental Engineering

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Profile and Settings

Profile and Settings

• Name (Japanese)

  Koseki

• Name (Kana)

  Shigenobu

• Name

  J-8317-2012, 201501029971041343

通称等の別名

Shige Koseki

Alternate Names

https://www.afpe-hu.jp/
https://kaken.nii.ac.jp/d/r/70414498.ja.html

Achievement

Research Interests

• 予測微生物学   数理モデル   予測モデル   殺菌   適合溶質   確率論   代謝阻害   アミノ酸   細菌   増殖阻害   食品品質   食品   

Research Areas

• Life sciences / Food sciences

Research Experience

• 2020/07 - Today Hokkaido University Research Faculty of Agriculture Professor
• 2013/08 - 2020/06 Hokkaido University
• 2003/04 - 2013/07 National Agriculture and Food Research Organization
• 2010/03 - 2011/03 タスマニア大学農学部 客員研究員
• 1998/04 - 1999/03 三栄源エフ・エフ・アイ株式会社

Awards

• 2010/03 第14回 安藤百福賞 発明発見奨励賞「食品における有害微生物の増殖および死滅の予測：数理モデルと情報技術の活用」
   

  受賞者: 小関 成樹

Published Papers

• Effects of at-home-preparation on the risk of foodborne illness in Japan: Analysis of quantitative microbial risk assessment of Escherichia coli O157:H7, Salmonella Typhimurium, Listeria monocytogenes, and Campylobacter jejuni in lettuce salad made at home

  Hiroki Abe, Akihiro Ando, Kento Koyama, Shigenobu Koseki

  Microbial Risk Analysis 27-28 100316 - 100316 2352-3522 2024/12
• Non-destructive measurement of rice amylose content using near-infrared spectroscopy for application at grain elevators and milling plants

  Haruka Iino, Shuso Kawamura, Edenio Olivares Díaz, Hiroyuki Ishizu, Toru Nagata, Shigenobu Koseki

  Journal of Food Measurement and Characterization 2024/10
• Effect of water activity on the mechanical glass transition and dynamical transition of bacteria-solute systems

  Kiyoshi Kawai, Tomochika Sogabe, Hiroshi Nakagawa, Takeshi Yamada, Shigenobu Koseki

  Journal of Food Engineering 375 112066 - 112066 0260-8774 2024/08
• Isolation and Identification of the Antibacterial Compounds Produced by Maillard Reaction of Xylose with Phenylalanine or Proline.

  Kazuho Aonishi, Shungo Miyao, Lisa Yokoi, Naoki Kitaoka, Kento Koyama, Hideyuki Matsuura, Shigenobu Koseki

  Journal of agricultural and food chemistry 2024/07/04 

  Maillard reaction products (MRPs) of xylose with phenylalanine and xylose with proline exhibit high antibacterial activity. However, the active antibacterial compounds in MRPs have not yet been identified or isolated. This study aimed to isolate the active compounds in the two antibacterial MRPs. The organic layer of the MRP solution was separated and purified using silica gel chromatography and high-performance liquid chromatography. The chemical structures of the isolated compounds were determined by mass spectrometry and nuclear magnetic resonance spectroscopy. The compounds inhibited the growth of Bacillus cereus and Salmonella Typhimurium at 25 °C for 7 days at a concentration of 0.25 mM. Furthermore, the isolated compounds inhibited the growth of naturally occurring microflora of lettuce and chicken thighs at 25 °C for 2 days at a concentration of 0.5-1.0 mM. The antibacterial compounds found in MRPs demonstrated a wide range of effectiveness and indicated their potential as alternative preservatives.
• 3-D stochastic modeling approach in thermal inactivation: estimation of thermal survival kinetics of Escherichia coli O157:H7 in a hamburger after exposure to desiccation stress

  Hidemoto Yabe, Hiroki Abe, Yoshiki Muramatsu, Kento Koyama, Shige Koseki

  Applied and Environmental Microbiology 90 (6) 0099-2240 2024/06/18 

  ABSTRACT Desiccation tolerance of pathogenic bacteria is one strategy for survival in harsh environments, which has been studied extensively. However, the subsequent survival behavior of desiccation-stressed bacterial pathogens has not been clarified in detail. Herein, we demonstrated that the effect of desiccation stress on the thermotolerance of Escherichia coli O157:H7 in ground beef was limited, and its thermotolerance did not increase. E. coli O157:H7 was inoculated into a ground beef hamburger after exposure to desiccation stress. We combined a bacterial inactivation model with a heat transfer model to predict the survival kinetics of desiccation-stressed E. coli O157:H7 in a hamburger. The survival models were developed using the Weibull model for two-dimensional pouched thin beef patties (ca. 1 mm), ignoring the temperature gradient in the sample, and a three-dimensional thick beef patty (ca. 10 mm), considering the temperature gradient in the sample. The two-dimensional (2-D) and three-dimensional (3-D) models were subjected to stochastic variations of the estimated Weibull parameters obtained from 1,000 replicated bootstrapping based on isothermal experimental observations as uncertainties. Furthermore, the 3-D model incorporated temperature gradients in the sample calculated using the finite element method. The accuracies of both models were validated via experimental observations under non-isothermal conditions using 100 predictive simulations. The root mean squared errors in the log survival ratio of the 2-D and 3-D models for 100 simulations were 0.25–0.53 and 0.32–2.08, respectively, regardless of the desiccation stress duration (24 or 72 h). The developed approach will be useful for setting appropriate process control measures and quantitatively assessing food safety levels. IMPORTANCE Acquisition of desiccation stress tolerance in bacterial pathogens might increase thermotolerance as well and increase the risk of foodborne illnesses. If a desiccation-stressed pathogen enters a kneaded food product via cross-contamination from a food-contact surface and/or utensils, proper estimation of the internal temperature changes in the kneaded food during thermal processing is indispensable for predicting the survival kinetics of desiccation-stressed bacterial cells. Various survival kinetics prediction models that consider the uncertainty or variability of pathogenic bacteria during thermal processing have been developed. Furthermore, heat transfer processes in solid food can be estimated using finite element method software. The present study demonstrated that combining a heat transfer model with a bacterial inactivation model can predict the survival kinetics of desiccation-stressed bacteria in a ground meat sample, corresponding to the temperature gradient in a solid sample during thermal processing. Combining both modeling procedures would enable the estimation of appropriate bacterial survival kinetics in solid food.
• Hierarchal ranking sensory evaluation test of fresh produce quality: A case study of injured cherry tomato images

  Sei Abe, Takahiro Matsui, Shige Koseki, Kento Koyama

  Food Quality and Preference 105167 - 105167 0950-3293 2024/03
• Investigating the relationship between strawberry maturity and glossiness on the surface during storage through digital image analysis

  Raki Takemoto, Takashi Watanabe, Nobutaka Nakamura, Shige Koseki, Kento Koyama

  Journal of Food Measurement and Characterization 18 (3) 1776 - 1785 2193-4126 2023/12/20
• Non-destructive quality classification of rice taste properties based on near-infrared spectroscopy and machine learning algorithms

  Edenio Olivares Díaz, Haruka Iino, Kento Koyama, Shuso Kawamura, Shigenobu Koseki, Suxing Lyu

  Food Chemistry 429 136907 - 136907 0308-8146 2023/12
• Analysis of a quantitative risk assessment of listeriosis from pasteurized milk: The combinations of which factors cause listeriosis in this low-risk food?

  Hiroki Abe, Alberto Garre, Shige Koseki, Heidy M.W. den Besten, Marcel H. Zwietering

  Food Control 152 109831 - 109831 0956-7135 2023/10
• Automated detection of internal fruit rot in Hass avocado via deep learning-based semantic segmentation of X-ray images

  Takahiro Matsui, Hiroyuki Sugimori, Shige Koseki, Kento Koyama

  Postharvest Biology and Technology 203 0925-5214 2023/09 

  Internal rot of avocado fruit (Persea americana), attributable to fungal infection, occurs at the end of the ripening process and causes only minor changes in the appearance and texture of the fruit surface. Manual inspection of rot by sight and touch commonly conducted in countries importing avocado fruit is time-consuming, labor-intensive, and subjective. In this context, X-ray line scanning has been proven as an advantageous method of fruit rot detection because of its speed of data acquisition and the indication of internal rot by bright regions in associated images. However, some fruit internal disorders exhibit only poor changes in contrast, resulting in low detectability by traditional image processing. This study aimed to test the effectiveness of a detection model using deep learning-based semantic segmentation in identifying two types of fruit rot, stem-end and body rot, in Hass avocados. Therefore, U-net+ + was trained and validated via 5-fold cross-validation to classify every pixel in an X-ray image as either infected or not. Then, each X-ray image was binarily classified based on either the presence or absence of internal fruit rots, achieving an accuracy of 0.98. Furthermore, the percentage of infected area was quantified with a root mean squared error (RMSE) of 3.15 %. Lastly, the proposed model detected both stem-end and body rot as well as rot along low-contrast fruit edges. The results of this study indicate that the proposed automatic inspection system using deep learning-based X-ray image analysis can effectively detect internal rot in Hass avocado fruit. This non-destructive, objective detection model can therefore increase efficiency and reduce misclassification in post-harvest avocado inspection. Furthermore, deep learning-based X-ray imaging has potential for applications in fruit inspection for internal cavities attributable to diseases or wounds.
• Antibacterial effect of melanoidins derived from xylose and phenylalanine against Bacillus cereus and Clostridium perfringens

  Eisuke Maesaka, Satoshi Kukuminato, Kazuho Aonishi, Kento Koyama, Shigenobu Koseki

  Journal of Food Protection 100140 - 100140 0362-028X 2023/08
• Prediction of growth/no growth status of previously unseen bacterial strain using Raman spectroscopy and machine learning

  Takashi Yamamoto, J. Nicholas Taylor, Shige Koseki, Kento Koyama

  LWT 114449 - 114449 0023-6438 2023/01
• Data mining for prediction and interpretation of bacterial population behavior in food

  Junpei Hosoe, Junya Sunagawa, Shinji Nakaoka, Shige Koseki, Kento Koyama

  Frontiers in Food Science and Technology 2 2022/12/15 

  Although bacterial population behavior has been investigated in a variety of foods in the past 40 years, it is difficult to obtain desired information from the mere juxtaposition of experimental data. We predicted the changes in the number of bacteria and visualize the effects of pH, a_w, and temperature using a data mining approach. Population growth and inactivation data on eight pathogenic and food spoilage bacteria under 5,025 environmental conditions were obtained from the ComBase database (www.combase.cc), including 15 food categories, and temperatures ranging from 0°C to 25°C. The eXtreme gradient boosting tree was used to predict population behavior. The root mean square error of the observed and predicted values was 1.23 log CFU/g. The data mining model extracted the growth inhibition for the investigated bacteria against a_w, temperature, and pH using the SHapley Additive eXplanations value. A data mining approach provides information concerning bacterial population behavior and how food ecosystems affect bacterial growth and inactivation.
• Mathematical model for analyzing the effect of storage conditions on the visually perceived freshness of strawberries via surface luminance distribution

  Raki Takemoto, Kento Koyama, Takashi Watanabe, Shige Koseki, Nobutaka Nakamura

  Food Packaging and Shelf Life 34 100965 - 100965 2214-2894 2022/12
• Inhibitory effect of d-Tryptophan on the spoilage potential of Shewanella baltica and Pseudomonas fluorescens and its potential application in salmon fillet preservation

  Jian Chen, Rendi Yang, Yongzheng Wang, Shigenobu Koseki, Linglin Fu, Yanbo Wang

  Food Microbiology 2022/12
• Development of automatic detection model for stem-end rots of ‘Hass’ avocado fruit using X-ray imaging and image processing

  Takahiro Matsui, Tatsuki Kamata, Shige Koseki, Kento Koyama

  Postharvest Biology and Technology 192 111996 - 111996 0925-5214 2022/10
• Effect of water activity on the mechanical glass transition and dynamical transition of bacteria

  Tomochika Sogabe, Hiroshi Nakagawa, Takeshi Yamada, Shigenobu Koseki, Kiyoshi Kawai

  Biophysical Journal 0006-3495 2022/09
• Modelling the invasion of human small intestinal epithelial‐like cells by Salmonella enterica Typhimurium and Listeria monocytogenes using Bayesian inference

  Y. Takahashi, H. Abe, K. Koyama, S. Koseki

  Letters in Applied Microbiology 75 (2) 388 - 395 0266-8254 2022/08 

  Abstract To develop a mechanistic bacterial dose–response model, based on the concept of Key Events Dose–Response Framework (KEDRF), this study aimed to investigate the invasion of intestinal model cells (Caco-2) by Salmonella Typhimurium and Listeria monocytogenes and described the behaviour of both pathogens as a mathematical model using Bayesian inference. Monolayer-cultured Caco-2 cells (approximately 105 cells) were co-cultured with various concentrations (103–107 colony forming unit [CFU] ml−1) of Salm. Typhimurium and L. monocytogenes for up to 9 h to investigate the invasion of the pathogens into the Caco-2 cells. While an exposure of ≥103 CFU ml−1 of Salm. Typhimurium initiated the invasion of Caco-2 cells within 3 h, much less exposure (102 CFU ml−1) of L. monocytogenes was sufficient for invasion within the same period. Furthermore, while the maximum number of invading Salm. Typhimurium cells reached by approximately 103 CFU cm−2 for 6-h exposure, the invading maximum numbers of L. monocytogenes cells increased by approximately 106 CFU cm−2 for the same exposure period. The invasion kinetics of both the pathogens was successfully described as an asymptotic exponential mathematical model using Bayesian inference. The developed pathogen invasion model allowed the estimation of probability of Salm. Typhimurium and L. monocytogenes infection, based on the physiological natures of digestion process, which was comparable to the published dose–response relationship. The invasion models developed in the present study will play a key role in the development of an alternative pathogen dose–response model based on KEDRF concept.
• Application of Time–Temperature Indicator/Integrator Based on the Maillard Reaction to Frozen Food Distribution

  Marin Tsujihashi, Saki Tanaka, Kento Koayama, Shigenobu Koseki

  Food and Bioprocess Technology 15 (6) 1343 - 1358 1935-5130 2022/06
• Experimentally observed Campylobacter jejuni survival kinetics in chicken meat products during model gastric digestion tended to be lower than model predictions

  Kohei Takeoka, Hiroki Abe, Kento Koyama, Shigenobu Koseki

  Food Microbiology 102 103932 - 103932 0740-0020 2022/04
• Does the firmness vary within a single kiwifruit? Estimation of firmness distribution in individual fruit by compressed air deformation measurement

  Rio Okaniwa, Kento Koyama, Shigenobu Koseki

  Journal of Food Measurement and Characterization 16 (1) 12 - 18 2193-4126 2022/02
• Is skipping the definition of primary and secondary models possible? Prediction of Escherichia coli O157 growth by machine learning

  Kento Koyama, Kyosuke Kubo, Satoko Hiura, Shige Koseki

  Journal of Microbiological Methods 192 106366 - 106366 0167-7012 2022/01
• Why Does Cronobacter sakazakii Survive for a Long Time in Dry Environments? Contribution of the Glass Transition of Dried Bacterial Cells

  Kyeongmin Lee, Kento Koyama, Kiyoshi Kawai, Shigenobu Koseki

  Microbiology Spectrum 9 (3) 2021/12/22 

  The mechanical glass transition temperature ( T _g ) of dried Cronobacter sakazakii cells varied depending on differences in drying methods and water activity (a _w ) levels. Because the T _g of the dried bacterial cells varied depending on the drying method and a _w , the T _g will play an important role as an operational factor in the optimization of dry food processing for controlling microbial contamination in the future.
• Antibacterial Properties of Melanoidins Produced from Various Combinations of Maillard Reaction against Pathogenic Bacteria

  Satoshi Kukuminato, Kento Koyama, Shigenobu Koseki

  Microbiology Spectrum 9 (3) 2021/12/22 

  Although the antimicrobial effect of melanoidins has been reported in some foods, there have been few comprehensive investigations on the antimicrobial activity of combinations of reaction substrates of the Maillard reaction. The present study comprehensively investigated the potential of various combinations of reducing sugars and amino acids. Because the melanoidins examined in this study were produced simply by heating in an autoclave at 121°C for 60 min, the of the targeted melanoidins can be easily produced.
• Prediction of population behavior of Listeria monocytogenes in food using machine learning and a microbial growth and survival database

  Satoko Hiura, Shige Koseki, Kento Koyama

  Scientific Reports 11 (1) 2021/12 

  In predictive microbiology, statistical models are employed to predict bacterial population behavior in food using environmental factors such as temperature, pH, and water activity. As the amount and complexity of data increase, handling all data with high-dimensional variables becomes a difficult task. We propose a data mining approach to predict bacterial behavior using a database of microbial responses to food environments. Listeria monocytogenes, which is one of pathogens, population growth and inactivation data under 1,007 environmental conditions, including five food categories (beef, culture medium, pork, seafood, and vegetables) and temperatures ranging from 0 to 25 °C, were obtained from the ComBase database (www.combase.cc). We used eXtreme gradient boosting tree, a machine learning algorithm, to predict bacterial population behavior from eight explanatory variables: ‘time’, ‘temperature’, ‘pH’, ‘water activity’, ‘initial cell counts’, ‘whether the viable count is initial cell number’, and two types of categories regarding food. The root mean square error of the observed and predicted values was approximately 1.0 log CFU regardless of food category, and this suggests the possibility of predicting viable bacterial counts in various foods. The data mining approach examined here will enable the prediction of bacterial population behavior in food by identifying hidden patterns within a large amount of data.
• Bayesian statistical modeling to describe uncertainty of thermal inactivation behaviour of bacterial spores

  Shinya Doto, Hiroki Abe, Kento Koyama, Shigenobu Koseki

  Food Control 130 108288 - 108288 0956-7135 2021/12 [Refereed]
  
• Classification of food spoilage bacterial species and their sodium chloride, sodium acetate and glycine tolerance using chemometrics analysis and Raman spectroscopy

  Takashi Yamamoto, J. Nicholas Taylor, Shige Koseki, Kento Koyama

  Journal of Microbiological Methods 190 106326 - 106326 0167-7012 2021/11
• Determination of banana quality indices during the ripening process at different temperatures using smartphone images and an artificial neural network

  Byeong-Hyo Cho, Shigenobu Koseki

  Scientia Horticulturae 288 0304-4238 2021/10/15 

  Banana quality and ripening stages were studied at four different temperatures (20, 25, 27.5, and 30 °C) using a smartphone camera and an artificial neural network (ANN). Changes in chemical and physical properties such as firmness, total soluble solids (TSS), pH, and ratio of pulp to peel, were determined and the relationship with color features (L*a*b*, hue, saturation, value [HSV], and luminance and chrominance [YUV]) were extracted from red, green, blue (RGB) images. ANN models based on color features were used to predict the quality indices of bananas during the ripening process. In addition, the developed models were verified by the coefficient of determination (R2), root mean squared error (RMSE), and the ratio of performance to deviation (RPD). The ANN model predicted the firmness and TSS of banana efficiently, with R2 values higher than 0.96 and RMSE values less than 72.32 and 1.40 for firmness and TSS, respectively. However, the ANN model was not suitable for predicting the pH value and ratio of pulp to peel with R2 values less than 0.60 and RMSE values of over 0.20 and 0.23 for pH and the ratio of pulp to peel, respectively. Thus, we demonstrated a post-harvest methodology to determine the ripening status of bananas by predicting their quality indices during the ripening process on a smartphone camera using ANN, and suggest smartphone camera as a potential tool to estimate product quality.
• Competitive growth kinetics of Campylobacter jejuni , Escherichia coli O157:H7 and Listeria monocytogenes with enteric microflora in a small‐intestine model

  Yuto Fuchisawa, Hiroki Abe, Kento Koyama, Shigenobu Koseki

  Journal of Applied Microbiology 132 (2) 1467 - 1478 1364-5072 2021/09/23
• Application of growth rate from kinetic model to calculate stochastic growth of a bacteria population at low contamination level

  Kento Koyama, Satoko Hiura, Hiroki Abe, Shige Koseki

  Journal of Theoretical Biology 525 110758 - 110758 0022-5193 2021/09
• Screening and preservation application of quorum sensing inhibitors of Pseudomonas fluorescens and Shewanella baltica in seafood products

  Yanbo Wang, Yongzheng Wang, Jian Chen, Shigenobu Koseki, Qing Yang, Hejun Yu, Linglin Fu

  LWT-FOOD SCIENCE AND TECHNOLOGY 149 111749 - 111749 0023-6438 2021/09 

  Pseudomonas fluorescens and Shewanella baltica are specific spoilage organisms (SSOs) of most seafood products. Both of them can cell-to-cell communicate through quorum sensing (QS), facilitating the spoilage activities such as protease secretion, flagellar movement, and biofilm formation. Thus, it is important to screen the quorum sensing inhibitors (QSI) of P. fluorescens and S. baltica. In this study, we tried to apply a high-throughput virtual screening technology to select QSIs candidates. Three amino acid sequences from the key QS regulator-LuxR/I family (the LuxR and LuxI proteins of P. fluorescens, and the LuxR of S. baltica) were targeted and analyzed. Their 3D structures were subsequently constructed for the QSIs candidates' screen of both P. fluorescens and S. baltica. The candidates of cytidine-5'-monophosphate (5'-CMP) and 5'-adenylic acid (5'-AMP) with high scores exerted strong antagonistic effects against both P. fluorescens and S. baltica QS. The addition of 5'-CMP and 5'-AMP also inhibit QS-controlled phenotypes (swimming motility, protease activity, EPS, and biofilm formation) in P. fluorescens and S. baltica. Furthermore, the exogenous addition of 5'-CMP and 5'-AMP could retard the spoilage process of salmon slices during low-temperature storage by inhibiting the production of extracellular protease, siderophores, and Total Volatile Basic Nitrogen (TVB-N).
• Implementing a new dose-response model for estimating infection probability of Campylobacter jejuni based on the key events dose-response framework

  Hiroki Abe, Kohei Takeoka, Yuto Fuchisawa, Kento Koyama, Shigenobu Koseki

  Applied and Environmental Microbiology 87 (20) 0099-2240 2021/08/04 

  Based on the mechanistic approach called the key events dose-response framework (KEDRF), an alternative to previous nonmechanistic approaches, the dose-response models for infection probability of C. jejuni were developed considering with age of people who ingest pathogen and food type. The developed predictive framework illustrates highly accurate prediction of dose (minimum difference 0.21 log CFU) for a certain infection probability compared with the previously reported dose-response relationship.
• Evaluation of Strain Variability in Inactivation of Campylobacter jejuni in Simulated Gastric Fluid by Using Hierarchical Bayesian Modeling

  Kento Koyama, Jukka Ranta, Kohei Takeoka, Hiroki Abe, Shige Koseki, Andrew J. McBain

  Applied and Environmental Microbiology 87 (15) 0099-2240 2021/07/13 

  Since microbial strains vary in their growth and activation patterns in food materials, it is important to accurately predict these patterns for quantitative microbial risk assessment. However, most previous studies in this area have used highly resistant strains, which could lead to inaccurate predictions.
• Rapid detection and enumeration of aerobic mesophiles in raw foods using dielectrophoresis

  Umi Ogawa, Kento Koyama, Shigenobu Koseki

  JOURNAL OF MICROBIOLOGICAL METHODS 186 0167-7012 2021/07 

  The concept of dielectrophoresis (DEP), which involves the movement of neutral particles by induced polarization in nonuniform electric fields, has been exploited in various biological applications. However, only a few studies have investigated the use of DEP for detecting and enumerating microorganisms in foodstuffs. Therefore, we aimed to evaluate the accuracy and efficiency of a DEP-based method for enumerating viable bacteria in three raw foods: freshly cut lettuce, chicken breast, and minced pork. The DEP separation of bacterial cells was conducted at 20 V of output voltage and 6000 to 9000 kHZ of frequency with sample conductivity of 30-70 mu S/cm. The accuracy and validity of the DEP method for enumerating viable bacteria were compared with those of the conventional culture method; no significant variation was observed. We found a high correlation between the data obtained using DEP and the conventional aerobic plate count culture method, with a high coefficient of determination (R-2 > 0.90) regardless of the food product; the difference in cell count data between both methods was within 1.0 log CFU/mL. Moreover, we evaluated the efficiency of the DEP method for enumerating bacterial cells in chicken breasts subjected to either freezing or heat treatment. After thermal treatment at 55 degrees C and 60 degrees C, the viable cell counts determined via the DEP method were found to be lower than those obtained using the conventional culture method, which implies that the DEP method may not be suitable for the direct detection of injured cells. In addition to its high accuracy and efficiency, the DEP method enables the determination of viable cell counts within 30 min, compared to 48 h required for the conventional culture method. In conclusion, the DEP method may be a potential alternative tool for rapid determination of viable bacteria in a variety of foodstuffs.
• Bayesian Generalized Linear Model for Simulating Bacterial Inactivation/Growth Considering Variability and Uncertainty

  Satoko Hiura, Hiroki Abe, Kento Koyama, Shige Koseki

  Frontiers in Microbiology 12 2021/06/24 

  Conventional regression analysis using the least-squares method has been applied to describe bacterial behavior logarithmically. However, only the normal distribution is used as the error distribution in the least-squares method, and the variability and uncertainty related to bacterial behavior are not considered. In this paper, we propose Bayesian statistical modeling based on a generalized linear model (GLM) that considers variability and uncertainty while fitting the model to colony count data. We investigated the inactivation kinetic data of Bacillus simplex with an initial cell count of 10⁵ and the growth kinetic data of Listeria monocytogenes with an initial cell count of 10⁴. The residual of the GLM was described using a Poisson distribution for the initial cell number and inactivation process and using a negative binomial distribution for the cell number variation during growth. The model parameters could be obtained considering the uncertainty by Bayesian inference. The Bayesian GLM successfully described the results of over 50 replications of bacterial inactivation with average of initial cell numbers of 10¹, 10², and 10³ and growth with average of initial cell numbers of 10^–1, 10⁰, and 10¹. The accuracy of the developed model revealed that more than 90% of the observed cell numbers except for growth with initial cell numbers of 10¹ were within the 95% prediction interval. In addition, parameter uncertainty could be expressed as an arbitrary probability distribution. The analysis procedures can be consistently applied to the simulation process through fitting. The Bayesian inference method based on the GLM clearly explains the variability and uncertainty in bacterial population behavior, which can serve as useful information for risk assessment related to food borne pathogens.
• Recent advances in predictive microbiology: theory and application of conversion from population dynamics to individual cell heterogeneity during inactivation process

  Shige Koseki, Kento Koyama, Hiroki Abe

  Current Opinion in Food Science 39 60 - 67 2214-7993 2021/06
• Effects of glass transition and hydration on the biological stability of dry yeast

  Kiyoshi Kawai, Kyoya Sato, Kyeongmin Lee, Shigenobu Koseki

  Journal of Food Science 1750-3841 2021/04
• Predicting sensory evaluation of spinach freshness using machine learning model and digital images

  Kento Koyama, Marin Tanaka, Byeong-Hyo Cho, Yusaku Yoshikawa, Shige Koseki

  PLOS ONE 16 (3) e0248769 - e0248769 2021/03/19 

  The visual perception of freshness is an important factor considered by consumers in the purchase of fruits and vegetables. However, panel testing when evaluating food products is time consuming and expensive. Herein, the ability of an image processing-based, nondestructive technique to classify spinach freshness was evaluated. Images of spinach leaves were taken using a smartphone camera after different storage periods. Twelve sensory panels ranked spinach freshness into one of four levels using these images. The rounded value of the average from all twelve panel evaluations was set as the true label. The spinach image was removed from the background, and then converted into a gray scale and CIE-Lab color space (L*a*b*) and Hue, Saturation and Value (HSV). The mean value, minimum value, and standard deviation of each component of color in spinach leaf were extracted as color features. Local features were extracted using the bag-of-words of key points from Oriented FAST (Features from Accelerated Segment Test) and Rotated BRIEF (Binary Robust Independent Elementary Features). The feature combinations selected from the spinach images were used to train machine learning models to recognize freshness levels. Correlation analysis between the extracted features and the sensory evaluation score showed a positive correlation (0.5 < r < 0.6) for four color features, and a negative correlation (‒0.6 < r < ‒0.5) for six clusters in the local features. The support vector machine classifier and artificial neural network algorithm successfully classified spinach samples with overall accuracy 70% in four-class, 77% in three-class and 84% in two-class, which was similar to that of the individual panel evaluations. Our findings indicate that a model using support vector machine classifiers and artificial neural networks has the potential to replace freshness evaluations currently performed by non-trained panels.
• Cow Milk Progesterone Concentration Assessment during Milking Using Near-infrared Spectroscopy

  Patricia IWEKA, Shuso KAWAMURA, Tomohiro MITANI, Takashi KAWAGUCHI, Shigenobu KOSEKI

  Engineering in Agriculture, Environment and Food 14 (1) 30 - 36 2021
• How many repetitions per condition are required for developing a stable growth/no growth boundary model for Bacillus simplex spores?

  Tsuruma, N., Doto, S., Ishida, W., Koyama, K., Koseki, S.

  Food Control 122 107756 - 107756 0956-7135 2021
• Determination of ‘Hass’ avocado ripeness during storage by a smartphone camera using artificial neural network and support vector regression

  Cho, B.-H., Koyama, K., Koseki, S.

  Journal of Food Measurement and Characterization 15 (2) 2021 - 2030 2193-4134 2021
• Predictive Growth Model of Listeria monocytogenes Under Fluctuating Temperature Conditions in Pasteurized Milk by Using Real-Time Polymerase Chain Reaction

  Fia Noviyanti, Shigemasa Shimizu, Yukie Hosotani, Shigenobu Koseki, Yasuhiro Inatsu, Susumu Kawasaki

  FOODBORNE PATHOGENS AND DISEASE 17 (11) 693 - 700 1535-3141 2020/11 [Refereed][Not invited]
   

  The aim of this study was to evaluate the application of real-time polymerase chain reaction (PCR)-based quantification as a rapid and accurate tool for the monitoring and prediction of Listeria monocytogenes growth in pasteurized milk under constant and fluctuating temperature conditions. The growth of L. monocytogenes was monitored under constant temperature conditions at 4 degrees C, 10 degrees C, 15 degrees C, 20 degrees C, and 35 degrees C. High correlation was obtained between the bacterial growth rate and incubation temperature, where the R-2 of the slope of the square root model was calculated to be 0.993 and 0.996 for real-time PCR and the conventional culture method, respectively. Moreover, the obtained maximum specific growth rate (mu(max)) data plots were correlated with 188 L. monocytogenes mu(max) data points from the existing model according to ComBase database, with an R-2 of 0.961 for real-time PCR and of 0.931 for the conventional culture method. The growth models were examined under three different patterns of fluctuating temperature conditions ranging from 2 degrees C to 30 degrees C. The prediction results fell within +/- 20% of the relative error zone, showing that real-time PCR quantification could be used for fast, sensitive, and specific bacterial growth monitoring with high-throughput results. Real-time PCR should be considered a promising option and powerful tool for the construction of a bacterial growth prediction model for safety risk analysis in the dairy industry.
• Diversity of physicochemical properties of different rice varieties produced in regions of Hokkaido, Japan through eight years

  Edenio Olivares Díaz, Shuso Kawamura, Miki Matsuo, Shigenobu Koseki

  Environmental Control in Biology 58 (4) 123 - 130 1883-0986 2020/10/01 

  A combination of physical and chemical properties defines the rice quality. During grain filling, kernel location in the panicle and ambient air temperature influence its physicochemical properties thereby affecting the quality of rice. Here, we implemented principal component analysis (PCA) to reduce the dimensionality of 10 characteristics of 719 harvested rice samples, comprised of 10 varieties produced from 2010 to 2017 in regions of Hokkaido, Japan, into latent variables PC-1 and PC-2, which explained 69.7％ of the total variance. The model increased the interpretability of the relationship among physicochemical properties of brown rice and temperatures during grain filling in a visually intuitive manner. Results showed that high temperatures in August lowered the quality of samples produced in some regions in 2013 and 2016 by increasing the percentage of immature kernels and protein. Also, high temperatures in September increased the quality of samples produced in some regions in 2011 and 2012 by increasing the percentage of mature kernels and decreasing amylose and protein levels. Moreover, in 2015 and 2017, low temperatures in August and September increased amylose levels, which negatively affected rice quality attributes. This information could contribute to the production of high-quality and palatable rice demanded by Japanese consumers.
• Non-destructive determination of bovine milk progesterone concentration during milking using near-infrared spectroscopy

  Patricia Iweka, Shuso Kawamura, Tomohiro Mitani, Shigenobu Koseki

  Agricultural Engineering International: CIGR Journal 22 (3) 171 - 178 1682-1130 2020/09/01 

  In the current dairy industry, an intensive demand for estrus detection and early diagnosis of pregnancy has been increasing. Progesterone concentration in bovine milk is used as an important indicator of estrus detection and early pregnancy diagnosis. Current method for milk progesterone determination is destructive in nature. In contrast, near-infrared spectroscopy (NIRS) is a non-destructive analytical method that can be used for milk quality determination but there has been limited study on using NIRS for milk progesterone concentration during milking. Thus, the objective of this study was to develop an online real-time NIR spectroscopic sensing system for milk progesterone determination during milking by using a specific enzyme immunosorbent assay as a reference (chemical) method. Milk spectra with a wavelength range of 700 to 1050 nm and milk samples were collected every 20 s during milking from four lactating Holstein cows for 28 days using the NIR spectroscopic sensing system. Calibration models were developed using partial least squares analytical method and the precision and accuracy of the models was validated. Milk progesterone concentration for each milking was calculated by taking the progesterone concentration of the milk predicted values and milk yield obtained every 20 s, and was compared with the milk progesterone concentration chemical analysis value for one milking (bucket milk). The results obtained show that one milking time measurement accuracy of progesterone concentration was reasonably good. By installing the NIR spectroscopic sensing system developed in this study into a milking robot, it could predict milk progesterone concentration for one milking with almost the same accuracy as chemical analysis. Thus, recording this predicted value every milking and monitoring the continuous transition of the milk progesterone concentrations, it becomes possible to use it for the detection of estrus status and for the diagnosis of pregnancy of each cow.
• Describing the Individual Spore Variability and the Parameter Uncertainty in Bacterial Survival Kinetics Model by Using Second-Order Monte Carlo Simulation

  Hiroki Abe, Kento Koyama, Kohei Takeoka, Shinya Doto, Shigenobu Koseki

  Frontiers in Microbiology 11 2020/05/19 [Refereed][Not invited]
   

  © Copyright © 2020 Abe, Koyama, Takeoka, Doto and Koseki. The objective of this study was to separately describe the fitting uncertainty and the variability of individual cell in bacterial survival kinetics during isothermal and non-isothermal thermal processing. The model describing bacterial survival behavior and its uncertainties and variabilities during non-isothermal inactivation was developed from survival kinetic data for Bacillus simplex spores under fifteen isothermal conditions. The fitting uncertainties in the parameters used in the primary Weibull model was described by using the bootstrap method. The variability of individual cells in thermotolerance and the true randomness in the number of dead cells were described by using the Markov chain Monte Carlo (MCMC) method. A second-order Monte Carlo (2DMC) model was developed by combining both the uncertainties and variabilities. The 2DMC model was compared with reduction behavior under three non-isothermal profiles for model validation. The bacterial death estimations were validated using experimentally observed surviving bacterial count data. The fitting uncertainties in the primary Weibull model parameters, the individual thermotolerance heterogeneity, and the true randomness of inactivated spore counts were successfully described under all the iso-thermal conditions. Furthermore, the 2DMC model successfully described the variances in the surviving bacterial counts during thermal inactivation for all three non-isothermal profiles. As a template for risk-based process designs, the proposed 2DMC simulation approach, which considers both uncertainty and variability, can facilitate the selection of appropriate thermal processing conditions ensuring both food safety and quality.
• Inactivation kinetics of Bacillus cereus spores by Plasma activated water (PAW)

  Yan Bai, Aliyu Idris Muhammad, Yaqin Hu, Shigenobu Koseki, Xinyu Liao, Shiguo Chen, Xingqian Ye, Donghong Liu, Tian Ding

  Food Research International 131 109041 - 109041 0963-9969 2020/05 [Refereed][Not invited]
   

  © 2020 Elsevier Ltd In recent years, plasma activated water has attracted more attention as a new disinfectant. The purpose of this study was to explore impact of variation of different treatment conditions on the inactivation kinetics of Bacillus cereus spores by PAW. All survival curves showed that the number of spores has decreased rapidly at first, followed by tailing results from the reduction inactivation rate. A linear and two nonlinear models (Weibull and Log-logistic model) were fitted to these data, and Log-logistic model fitted the inactivation of the B. cereus spores best. B. cereus spores in 106 CFU/mL was reduced by 1.62–2.96 log CFU/mL by PAW at 55 °C due to the reactive species generated in PAW. Elevated temperature, lower initial spore concentration, lower bovine serum albumin content, and smaller activation volume of PAW considerably enhanced PAW inactivation of B. cereus spores. These results provide an approach to evaluate the inactivation efficacy of different treatment conditions for PAW.
• Prevalence and antimicrobial resistance of Shiga toxin-producing Escherichia coli in milk and dairy products in Egypt

  Mahmoud Elafify, Hazim O. Khalifa, Maha Al-Ashmawy, Mohammed Elsherbini, Amera Abd El Latif, Takashi Okanda, Tetsuya Matsumoto, Shige Koseki, Adel Abdelkhalek

  Journal of Environmental Science and Health - Part B Pesticides, Food Contaminants, and Agricultural Wastes 55 (3) 265 - 272 0360-1234 2020/03/03 [Refereed][Not invited]
   

  © 2019, © 2019 Taylor & Francis Group, LLC. Food contaminated with Shiga toxin-producing Escherichia coli (STEC) represents a hazardous public health problem worldwide. Therefore, the present study was performed to elucidate the virulent and antimicrobial resistance characteristics of STEC isolated from milk and dairy products marketed in Egypt. A total of 125 samples (raw market milk, bulk tank milk, Kareish cheese, white soft cheese, and small scale-produced ice cream, 25 each) were collected for determination the prevalence and antimicrobial resistance profiling of STEC. Thirty-six STEC isolates were recovered from milk and dairy products. Serological analysis illustrated that three isolates were E. coli O157:H7 and 33 isolates belonged to different serotypes. Molecular examination indicated that all isolates harboured stx1 and/or stx2 genes, 14 isolates expressed eaeA gene and 3 isolates possessed rfbE gene. Antimicrobial resistance profiling of the isolates was both phenotypically and genetically examined. Interestingly, 31 out of 36 (86.11%) isolates were multidrug-resistant and harboured the extended-spectrum β-lactamase encoding genes, namely, blaCTX-M-15, blaSHV-12 and blaCTX-M-14. Moreover, 12 isolates (33.33%) harboured plasmid-mediated quinolone resistant gene, qnrS. The overall conclusion of the current investigation indicated insufficient hygienic measures adopted during milking, handling, and processing leading to development of pathogenic and multidrug-resistant STEC.
• Modeling Invasion of Campylobacter jejuni into Human Small Intestinal Epithelial-Like Cells by Bayesian Inference

  Abe, H., Koyama, K., Koseki, S.

  Applied and Environmental Microbiology 87 (1) 1098-5336 2020 

  Current approaches used for dose-response modeling of low-dose exposures of pathogens rely on assumptions and extrapolations. These models are important for quantitative microbial risk assessment of food. A mechanistic framework has been advocated as an alternative approach for evaluating dose-response relationships. The objectives of this study were to investigate the invasion behavior of Campylobacter jejuni, which could arise as a foodborne illness even if there are low counts of pathogens, into Caco-2 cells as a model of intestinal cells and to develop a mathematical model for invading cell counts to reveal a part of the infection dose-response mechanism. Monolayer-cultured Caco-2 cells and various concentrations of C. jejuni in culture were cocultured for up to 12 h. The numbers of C. jejuni bacteria invading Caco-2 cells were determined after coculture for different time periods. There appeared to be a maximum limit to the invading bacterial counts, which showed an asymptotic exponential increase. The invading bacterial counts were higher with higher exposure concentrations (maximum, 5.0 log CFU/cm²) than with lower exposure concentrations (minimum, 0.6 log CFU/cm²). In contrast, the ratio of invading bacteria (number of invading bacteria divided by the total number of bacteria exposed) showed a similar trend regardless of the exposure concentration. Invasion of C. jejuni into intestinal cells was successfully demonstrated and described by the developed differential equation model with Bayesian inference. The model accuracy showed that the 99% prediction band covered more than 97% of the observed values. These findings provide important information on mechanistic pathogen dose-response relationships and an alternative approach for dose-response modeling. IMPORTANCE One of the infection processes of C. jejuni, the invasion behavior of the bacteria in intestinal epithelial cells, was revealed, and a mathematical model for prediction of the cell-invading pathogen counts was developed for the purpose of providing part of a dose-response model for C. jejuni based on the infection mechanism. The developed predictive model showed a high accuracy of more than 97% and successfully described the C. jejuni invading counts. The bacterial invasion predictive model of this study will be essential for the development of a dose-response model for C. jejuni based on the infection mechanism.
• Development of a Maillard Reaction–Based Time-Temperature Integrator/indicator (TTI) for Visual Monitoring of Chilled Beef During Long-term Storage and Distribution

  Sakai, K., Lee, J.H., Kocharunchitt, C., Ross, T., Jenson, I., Koyama, K., Koseki, S.

  Food and Bioprocess Technology 13 (12) 2094 - 2103 1935-5149 2020
• Determination of “Hass” Avocado Ripeness During Storage Based on Smartphone Image and Machine Learning Model

  Cho, B.-H., Koyama, K., Olivares Díaz, E., Koseki, S.

  Food and Bioprocess Technology 13 (9) 1579 - 1587 1935-5149 2020
• Interplay of antibiotic resistance and food-associated stress tolerance in foodborne pathogens

  Liao, X., Ma, Y., Daliri, E.B.-M., Koseki, S., Wei, S., Liu, D., Ye, X., Chen, S., Ding, T.

  Trends in Food Science and Technology 95 97 - 106 0924-2244 2020 [Refereed][Not invited]
   

  © 2019 Elsevier Ltd Background: The discovery and use of antibiotics have produced tremendous benefits for human society, however, with the large-scale use of antibiotics in medicine, animal husbandry and other fields, more and more antibiotic-resistant bacteria have emerged. Since diseases caused by such antibiotic-resistant bacteria could require more drastic measures to treat, the emergence of such resistant bacteria in food has attracted much concern. Scope and approach: In this review, we summarized the interplay between antibiotic resistance and food-associated stress tolerance, and the hypothesized molecular mechanisms for the cross protection in bacteria. Key findings and conclusions: In this review, we found that some common food-associated stresses, such as cold, acid, osmosis and sanitizers could provide cross protection for bacteria against antibiotics. In turn, antibiotic resistance could also render bacteria more tolerant to food-associated stresses. Meanwhile, novel nonthermal technologies may more likely result in little or no difference in bacterial antibiotic resistance, and this can be an advantage over traditional sterilization methods. Several molecular mechanisms for the cross protection between antibiotics and food-associated stresses have been discussed in this review. General stress response (e.g., sigma factors and two-component system), SOS response, mutations, and other mechanisms have been proposed as strategies for bacteria acquisition of cross protection.
• Online milk quality assessment during milking using near-infrared spectroscopic sensing system

  Patricia Iweka, Shuso Kawamura, Tomohiro Mitani, Takashi Kawaguchi, Shigenobu Koseki

  Environmental Control in Biology 58 (1) 1 - 6 1880-554X 2020 [Refereed][Not invited]
   

  © 2020 Biotron Institute. All rights reserved. In recent times, there has been an urgent requirement for a technique that can be used by dairy farmers to assess the quality of milk of an individual cow during milking. A near-infrared (NIR) spectroscopic sensing system was designed on an experimental basis for the online assessment of the three major milk constituents (fat, protein, and lactose), solids not fat (SNF), milk urea nitrogen (MUN), and somatic cell count (SCC). This system was used to obtain the NIR spectra of non-homogenized milk during milking over a wavelength range of 700 to 1,050 nm. Calibration models for predicting three major milk constituents, SNF, MUN and SCC of non-homogenized milk were developed, and the precision and accuracy of the models were validated. The coefficients of determination, standard errors of prediction, and bias values showed high levels of precision and accuracy for the prediction of the considered parameters. The results indicated that the developed NIR spectroscopic sensing system can be used to assess milk quality in real-time during milking. This system can provide dairy farmers with information concerning milk quality and physiological condition of each cow, and can therefore optimize dairy farm management.
• Combined D-Tryptophan Treatment and Temperature Stress Exert Antimicrobial Activity against Listeria monocytogenes in Milk

  Elafify, M., Chen, J., Abdelkhalek, A., Elsherbini, M., Al-Ashmawy, M., Koseki, S.

  Journal of Food Protection 83 (4) 644 - 650 1944-9097 2020 [Refereed][Not invited]
   

  Copyright Ó, International Association for Food Protection D-Tryptophan (D-Trp) has a significant inhibitory effect on growth of gram-negative bacteria under osmotic stress. However, the inhibitory effect of D-Trp on the gram-positive Listeria monocytogenes under chilled and thermal stresses has not been evaluated previously. The effect of D-Trp on L. monocytogenes growth under cold and/or heat stress in milk and cream was dependent on the magnitude of the temperature stress. Low temperatures (4, 7, and 10°C) and treatment with 40 mM D-Trp resulted in significant inhibition of L. monocytogenes growth during the 4-week storage period. Lower temperatures more effectively inhibited growth. When added before thermal processing, 40 mM D-Trp completely inactivated L. monocytogenes (>6-log reduction) heated at 60°C for 25 min or 65°C for 20 min. These results suggest that D-Trp can be used as a preservative for controlling the growth of L. monocytogenes in milk and cream at refrigeration temperatures and could be used to enhance the thermal inactivation of L. monocytogenes.
• Effect of D-tryptophan on the psychrotrophic growth of Listeria monocytogenes and its application in milk

  Chen, J., Kawamura, S., Koseki, S.

  Food Control 110 107048 - 107048 0956-7135 2020 [Refereed][Not invited]
   

  © 2019 Elsevier Ltd Current refrigeration temperatures are inadequate to restrain psychrophilic bacteria capable of survival and growth at low temperatures. Specifically, Listeria monocytogenes is strongly resistant to chilling stress and osmotic stress and tends to be more pathogenic during long-term refrigeration. Here, we demonstrated that D-tryptophan (D-Trp) reduced and delayed the psychrotrophic growth of L. monocytogenes at 4 °C in PYG medium during a 30-day period, and that >30 mM D-Trp further decreased the L. monocytogenes growth rate and extended the lag phase to a maximum of 400 h, which was 4-fold longer than that in the absence of D-Trp. In particular, 40 mM D-Trp alone significantly (P < 0.05) reduced L. monocytogenes growth by 3 log CFU/mL in concentration-dependent manner during a 30-day incubation at 4 °C, and 40 mM D-Trp combined with >3.0% NaCl resulted in an overall greater bacteriostatic effect accompanied by a partial bactericidal effect. Furthermore, 40 mM D-Trp significantly (P < 0.05) inhibited L. monocytogenes growth in artificially contaminated milk samples during extended refrigerated storage and maintained a low bacterial load (~103–104 CFU/mL) of L. monocytogenes throughout the 30-day refrigeration period. These results indicated that D-Trp significantly attenuated the psychrotrophic growth of L. monocytogenes at refrigerated temperatures, suggesting its potential efficacy as a food preservative.
• Relationship between glass transition temperature, and desiccation and heat tolerance in Salmonella enterica

  Lee, K., Shoda, M., Kawai, K., Koseki, S.

  PLoS ONE 15 (5) 1932-6203 2020 [Refereed][Not invited]
   

  © 2020 Public Library of Science. All rights reserved. Pathogenic bacteria such as Salmonella enterica exhibit high desiccation tolerance, enabling long-Term survival in low water activity (aw) environments. Although there are many reports on the effects of low aw on bacterial survival, the mechanism by which bacteria acquire desiccation tolerance and resistance to heat inactivation in low-Aw foods remains unclear. We focused on the glass transition phenomenon, as bacteria may acquire environmental tolerance by state change due to glass transition. In this study, we determined the glass transition temperature (Tg) in S. enterica serovars under different aw conditions using thermal rheological analysis (TRA). The softening behaviour associated with the state change of bacterial cells was confirmed by TRA, and Tg was determined from the softening behaviour. Tg increased as the aw decreased in all S. enterica serovars. For example, while the Tg of five S. enterica serovars was determined as 35.16°C to 57.46°C at 0.87 aw, the Tg of all the five serovars increased by 77.10°C to 83.30°C at 0.43 aw. Furthermore, to verify the thermal tolerance of bacterial cells, a thermal inactivation assay was conducted at 60°C for 10 min under each aw condition. A higher survival ratio was observed as aw decreased; this represented an increase in Tg for Salmonella strains. These results suggest that the glass transition phenomenon of bacterial cells would associate with environmental tolerance.
• Transforming kinetic model into a stochastic inactivation model: Statistical evaluation of stochastic inactivation of individual cells in a bacterial population

  Hiura, S., Abe, H., Koyama, K., Koseki, S.

  Food Microbiology 91 103508 - 103508 1095-9998 2020 [Refereed][Not invited]
   

  © 2020 Elsevier Ltd Kinetic models performing point estimation are effective in predicting the bacterial behavior. However, the large variation of bacterial behavior appearing in a small number of cells, i.e. equal or less than 102 cells, cannot be expressed by point estimation. We aimed to predict the variation of Escherichia coli O157:H7 behavior during inactivation in acidified tryptone soy broth (pH3.0) through Monte Carlo simulation and evaluated the accuracy of the developed model. Weibullian fitted parameters were estimated from the kinetic survival data of E. coli O157:H7 with an initial cell number of 105. A Monte Carlo simulation (100 replication) based on the obtained Weibullian parameters and the Poisson distribution of initial cell numbers successfully predicted the results of 50 replications of bacterial inactivation with initial cell numbers of 101, 102, and 103 cells. The accuracy of the simulation revealed that more than 83% of the observed survivors were within predicted range in all condition. 90% of the distribution in survivors with initial cells less than 100 is equivalent to a Poisson distribution. This calculation transforms the traditional microbial kinetic model into probabilistic model, which can handle bacteria number as discrete probability distribution. The probabilistic approach would utilize traditional kinetic model towards exposure assessment.
• Prevalence of Salmonella spp. in Egyptian dairy products: molecular, antimicrobial profiles and a reduction trial using d-tryptophan

  Mahmoud Elafify, Wageh Sobhy Darwish, Maha Al-Ashmawy, Mohammed Elsherbini, Shige Koseki, Shuso Kawamura, Adel Abdelkhalek

  Journal fur Verbraucherschutz und Lebensmittelsicherheit 14 (4) 399 - 407 1661-5751 2019/12/01 [Refereed][Not invited]
   

  © 2019, Bundesamt für Verbraucherschutz und Lebensmittelsicherheit (BVL). The study aims to determine the prevalence and serotypes of Salmonella spp. in milk and dairy products sold on Egyptian markets, characterize their virulence-associated genes, and assess their antimicrobial profile. Furthermore, d-tryptophan was used as a new approach for controlling the growth of Salmonella in combination with heat stress. A total of 125 samples (raw market milk, bulk tank milk, Kareish cheese, white soft cheese, and small scale ice cream, 25 each) were used for assessing the prevalence of Salmonella spp. Nine Salmonella isolates with different serotypes were recovered from bulk tank milk (4/9; 44.44%) and Kariesh cheese (5/9; 55.55%), respectively. Antimicrobial susceptibility testing indicated that all isolates were resistant to streptomycin and erythromycin. PCR analysis revealed that 100%, 66.67% and 88.89% of the obtained isolates possessed invA, avrA and stn genes, respectively. d-Tryptophan (40 mM) in combination with heat stress had a significant inhibitory effect on Salmonella enterica subsp. enterica serovar Typhimurium (S. Typhimurium) added to control milk samples. The results indicate insufficient hygienic measures adopted during handling by dairies in Egypt. Therefore, strict hygienic approaches are recommended during milking, processing and distribution of dairy products in Egypt. A synergistic effect of d-tryptophan and heat stress is considered as a promising tool for controlling growth of Salmonella in milk.
• Stochastic modeling of variability in survival behavior of Bacillus simplex spore population during isothermal inactivation at the single cell level using a Monte Carlo simulation

  Hiroki Abe, Kento Koyama, Shuso Kawamura, Shigenobu Koseki

  Food Microbiology 82 436 - 444 0740-0020 2019/09 [Refereed][Not invited]
   

  © 2019 Elsevier Ltd The control of bacterial reduction is important to maintain food safety during thermal processing. The goal of this study was to illustrate and describe variability in bacterial population behavior during thermal processing as a probability distribution based on individual cell heterogeneity regarding heat resistance. Toward this end, we performed a Monte Carlo simulation via computer, and compared and validated the simulated estimations with observed values. Weibullian fitted parameters were estimated from the kinetic survival data of Bacillus simplex during thermal treatment at 94 °C. The variability in reductions of bacterial sporular populations was illustrated using Monte Carlo simulation based on the Weibull distribution of the parameters. In particular, variabilities in viable spore counts and survival probability of the B. simplex spore population were simulated in various replicates. We also experimentally determined the changes in survival probability and distributions of survival spore counts; notably, these were successfully predicted by the Monte Carlo simulation based on the kinetic parameters. The kinetic parameter-based Monte Carlo simulation could thus successfully illustrate bacterial population behavior variability during thermal processing as a probability distribution. The simulation approach may contribute to improving food quality through risk-based processing designs and enhance risk assessment model accuracy.
• Modeling growth limits of Bacillus spp. spores by using deep-learning algorithm

  Sayuri Kuroda, Haruko Okuda, Wataru Ishida, Shigenobu Koseki

  Food Microbiology 78 38 - 45 0740-0020 2019/04 [Refereed][Not invited]
   

  © 2018 Elsevier Ltd Growth/no growth boundary models for Bacillus spores that accounted for the effects of environmental pH, water activity (aw), acetic acid, lactic acid, bacterial strain, and storage period were developed using conventional logistic regression and machine learning algorithms. Growth in tryptic soy broth at 317 conditions comprising nine levels of pH (4.0–6.5), six levels of aw (0.85–1.00), six levels of acetic acid concentrations (0–0.8%), and five levels of lactic acid concentrations (0–0.8%) was examined to confirm growth limit conditions. All models developed using logistic regression, neural network, and deep learning on the basis of obtained datasets successfully described growth/no growth boundaries of three Bacillus species. Although the logistic regression model failed to describe growth limits under some conditions, neural network and deep learning approaches enabled to determine them in such cases. The developed models were evaluated by independent experimental data of growth in tryptic soy broth and in clam soup. The deep learning model enabled better prediction of independent data with smaller probabilistic variability values than those of the logistic regression and neural network models. The deep learning procedure can be utilized for growth boundary modeling to control bacterial growth safely and flexibly.
• Fusarium graminearum growth and its fitness to the commonly used models

  Edgar CAMBAZA, Shigenobu KOSEKİ, Shuso KAWAMURA

  International Journal of Agriculture Environment and Food Sciences 2019/03/14
• Why rgb imaging should be used to analyze fusarium graminearum growth and estimate deoxynivalenol contamination

  Cambaza, E., Koseki, S., Kawamura, S.

  Methods and Protocols 2 (1) 2409-9279 2019/03 [Refereed][Not invited]
  
• Calculating stochastic inactivation of individual cells in a bacterial population using variability in individual cell inactivation time and initial cell number

  Koyama, K., Abe, H., Kawamura, S., Koseki, S.

  Journal of Theoretical Biology 469 172 - 179 0022-5193 2019 [Refereed][Not invited]
   

  © 2019 Elsevier Ltd The traditional log-linear inactivation kinetics model considers microbial inactivation as a process that follows first-order kinetics. A basic concept of log reduction is decimal reduction time (D-value), which means time/dose required to kill 90% of the relevant microorganisms. D-value based on the first-order survival kinetics model is insufficient for reliable estimations of bacterial survivors following inactivation treatment. This is because the model does not consider the inactivation curvature and variability in bacterial inactivation. However, although the D-value has some limitations, it is widely used for risk assessment and sterilization time estimation. In this study, stochastic inactivation models are used in place of the conventional D-value to describe the probability of a population containing survivors. As representative bacterial inactivation normally follows a log-linear or log-Weibull model, we calculate the time required for a specific decrease in the number of cells and the number of survival cells as a probability distribution using the stochastic inactivation of individual cells in a population. We compare the probability of a population containing survivors calculated via the D-value, an inactivation kinetics model, and the stochastic formula. The stochastic calculation can be approximately estimated via a kinetic curvature model with less than 5% difference below the probability of a population containing survivors 0.1. This stochastic formula indicates that the D-value model would over- or under-estimate the probability of a population containing survivors when applied to inactivation kinetics with curvature. The results presented in this study show that stochastic analysis using mathematical models that account for variability in the individual cell inactivation time and initial cell number would lead to a realistic and probabilistic estimation of bacterial inactivation.
• Novel antibacterial modalities against methicillin resistant Staphylococcus aureus derived from plants

  Jiao Li, Donghong Liu, Xiaojun Tian, Shigenobu Koseki, Shiguo Chen, Xingqian Ye, Tian Ding

  Critical reviews in food science and nutrition 59 (sup1) S153 - S161 1040-8398 2019 [Not refereed][Not invited]
   

  Methicillin-resistant Staphylococcus aureus (MRSA) is a notorious bacterial pathogen that induces high mortality and morbidity. Due to the emergence of multiple resistance, antibiotic treatments are rapidly becoming ineffective for the related infections. Natural products, especially those derived from plants, have been proven to be effective agents with unique antibacterial properties through different mechanisms. This review interprets the resistance mechanisms of MRSA with the aim to conquer public health threat. Further, recent researches about plant antimicrobials that showed remarkable antibacterial activity against MRSA are recorded, including the crude plant extracts and purified plant-derived bioactive compounds. Novel anti-MRSA modalities of plant antimicrobials such as alteration in efflux pump, inhibition of pyruvate kinase, and disturbance of quorum sensing in MRSA are also summarized which may be promising alternatives to antibacterial drug development in future.
• Fusarium graminearum colors and deoxynivalenol synthesis at different water activity

  Edgar Cambaza, Shigenobu Koseki, Shuso Kawamura

  Foods 8 (1) 2304-8158 2019 [Refereed][Not invited]
   

  © 2018 by the authors. Licensee MDPI, Basel, Switzerland. Deoxynivalenol (DON) is a well-known mycotoxin, responsible for outbreaks of gastrointestinal disorders in Japan. Fusarium graminearum, a parasite of cereal crops, produces this toxin and this is one of the reasons why it is important to understand its metabolism. It is possible to predict the mold's color change and the quantity of DON synthesized throughout its lifecycle. Furthermore, a w has been found to affect the amount of DON. This study aimed to analyze the potential of F. graminearum surface color as a predictor of DON concentration at a w = 0.94, 0.97, and 0.99. Thus, 36 specimens were incubated at 25 ◦ C, 12 at each a w . After 4, 8, 12, and 16 days, three specimens from each a w were collected for color analysis and DON quantification. For color analysis, photos were taken and red, green and blue (RGB) channels were measured on ImageJ software. DON was quantified through liquid chromatography (HPLC). Color changes were only observed at a w = 0.99 because at lower a w the molds presented high growth of white mycelium. Yet, DON increased in all cases. It was only possible to relate the colors with DON concentration at a w = 0.99, where they presented inverse proportionality.
• Combined analysis of near-infrared spectra, colour, and physicochemical information of brown rice to develop accurate calibration models for determining amylose content

  Olivares Díaz, E., Kawamura, S., Matsuo, M., Kato, M., Koseki, S.

  Food Chemistry 286 297 - 306 0308-8146 2019 [Refereed][Not invited]
   

  © 2019 Elsevier Ltd Amylose content is an important determinant of rice quality. Accurate non-destructive determination of amylose content remains a primary challenge for the rice industry. Here, we analysed the accuracy of three models for the non-destructive determination of amylose content. The models were developed by combining near-infrared spectra, colour, and physicochemical information relative to 832 brown rice samples from ten varieties produced between 2009 and 2017 in various regions of Hokkaido, Japan. Models describing low and ordinary amylose varieties were developed individually, merged, and validated using production year samples (2016–2017) different from the calibration set (2009–2015). The resulting accuracy was suitable for industrial application. With standard error of prediction = 0.70% and ratio of performance deviation = 3.56, the combination of near-infrared spectra and physicochemical information produced the most robust model, enabling more precise rice quality screening at grain elevators.
• Effect of thickness and maturity on protein content of Japonica brown rice collected during postharvest processing

  Olivares Díaz, E., Kawamura, S., Koseki, S.

  Biosystems Engineering 183 160 - 169 1537-5110 2019 [Refereed][Not invited]
   

  © 2019 IAgrE The rice industry requires new technologies to increase production in response to world population growth. These include technologies that ensure rice quality in postharvest processing. Protein content defines rice quality and palatability. Differences in kernel thickness and maturity affect the protein level of harvested rice. We therefore analysed the relationship between kernel thickness and maturity on protein content of Japonica brown rice collected during postharvest processing. We fractionated the rice into six thickness fractions and classified each fraction into mature, immature and chalky levels of maturity. Results showed that thickness fraction and maturity level affected protein content. Each increase in thickness produced an increase in the percentage of sound whole kernel and a decrease in protein content. The mature sample had the lowest protein content among maturity levels within each thickness fraction. Based on sound whole kernel and protein content values, we classified the mature sample in higher thickness fractions as having high-quality appearance and palatability. There were significant differences in protein content between different thickness fractions of the mature sample suggested that we can sort rice protein by thickness fraction. Moreover, differences in protein content suggested that we can use the thickness grader and colour sorter machines to sort rice into high or low protein content fractions. This information can contribute to more accurate quality constituent determination through the development of a rice protein sorter. This would support the production of high-quality rice and help address the demand for more efficient technology for rice postharvest processing.
• Describing uncertainty in salmonella thermal inactivation using bayesian statistical modeling

  Koyama, K., Aspridou, Z., Koseki, S., Koutsoumanis, K.

  Frontiers in Microbiology 10 (SEP) 2019 [Refereed][Not invited]
   

  © 2019 Koyama, Aspridou, Koseki and Koutsoumanis. Uncertainty analysis is the process of identifying limitations in scientific knowledge and evaluating their implications for scientific conclusions. In the context of microbial risk assessment, the uncertainty in the predicted microbial behavior can be an important component of the overall uncertainty. Conventional deterministic modeling approaches which provide point estimates of the pathogen’s levels cannot quantify the uncertainty around the predictions. The objective of this study was to use Bayesian statistical modeling for describing uncertainty in predicted microbial thermal inactivation of Salmonella enterica Typhimurium DT104. A set of thermal inactivation data in broth with water activity adjusted to 0.75 at 9 different temperature conditions obtained from the ComBase database (www.combase.cc) was used. A log-linear microbial inactivation was used as a primary model while for secondary modeling, a linear relation between the logarithm of inactivation rate and temperature was assumed. For comparison, data were fitted with a two-step and a global Bayesian regression. Posterior distributions of model’s parameters were used to predict Salmonella thermal inactivation. The combination of the joint posterior distributions of model’s parameters allowed the prediction of cell density over time, total reduction time and inactivation rate as probability distributions at different time and temperature conditions. For example, for the time required to eliminate a Salmonella population of about 107 CFU/ml at 65◦ C, the model predicted a time distribution with a median of 0.40 min and 5th and 95th percentiles of 0.24 and 0.60 min, respectively. The validation of the model showed that it can describe successfully uncertainty in predicted thermal inactivation with most observed data being within the 95% prediction intervals of the model. The global regression approach resulted in less uncertain predictions compared to the two-step regression. The developed model could be used to quantify uncertainty in thermal inactivation in risk-based processing design as well as in risk assessment studies.
• Combined use of a near-infrared spectrometer and a visible light grain segregator for accurate non-destructive determination of amylose content in rice

  Olivares Díaz, E., Kawamura, S., Kato, M., Nagata, T., Koseki, S.

  Journal of Cereal Science 90 0733-5210 2019 [Refereed][Not invited]
   

  © 2019 Elsevier Ltd Amylose content contributes to the texture and the eating quality of rice. Industrial non-destructive measurement of the amylose content in rice using a near-infrared (NIR) spectrometer remains inaccurate. In this study, we analyzed whether using an NIR spectrometer along with a visible light (VIS) grain segregator improved the accuracy of conventional model for non-destructive determination of rice amylose content. NIR spectra collected from the NIR spectrometer and physical properties were collected from the VIS grain segregator from 603 milled samples of 10 varieties of rice produced between 2010 and 2016 in various regions of Hokkaido, Japan. Data were analyzed by partial least squares regression (PLS) and multiple linear regression (MLR) to develop a dual-step model. Our dual-step model was validated using production year samples (2016) that were different from the calibration set (2010–2015). Our method improved accuracy compared to the conventional method developed using data from an NIR spectrometer, with a standard error of prediction (SEP) = 0.94% and ratio of performance deviation (RPD) = 2.46. Our dual-step model also had the highest robustness when increasing the production year samples of the calibration set, enabling a more precise, accurate, and efficient rice quality screening in Japanese industry.
• Stochastic simulation for death probability of bacterial population considering variability in individual cell inactivation time and initial number of cells

  Koyama, K., Abe, H., Kawamura, S., Koseki, S.

  International Journal of Food Microbiology 290 125 - 131 0168-1605 2019 [Refereed][Not invited]
   

  © 2018 Elsevier B.V. Decimal reduction time (D-value) based on the first-order survival kinetics model is not sufficient for reliable estimation of the bacterial survivors of inactivation treatment because the model does not consider inactivation curvature. However, even though doubt exists in the calculation of D-value, it is still widely used for risk assessment and sterilisation time estimation. This paper proposes an approach for estimating the time-to-inactivation and death probability of bacterial population that considers individual cell heterogeneity and initial number of cells via computer simulation. In the proposed approach, Weibull and Poisson distributions are respectively used to provide individual cell inactivation time variability and initial number of cells variability. Our simulation results show that the time-to-inactivation significantly depends on kinetics curvature and initial number of cells. For example, with increases in the initial number of cells, the respective variance of the time-to-inactivation of log-linear, concave downward curve, and concave upward curve remains constant, decreases, and increases, respectively. The death probability contour plot was successfully generated via our computer simulation approach without using D-value estimation. Further, the death probability calculated using our stochastic approach was virtually the same as that obtained using inactivation kinetics. We validated the simulation by using literature data for acid inactivation of Salmonella population. The results of this study indicate that inactivation curvature can replace D-value extrapolation to estimate the death probability of bacterial population. Further, our computer simulation facilitates realistic estimation of the time-to-inactivation of bacterial population. The R code used for the above stochastic calculation is outlined.
• Development of a novel time–temperature integrator/indicator (TTI) based on the maillard reaction for visual monitoring of melon (Cucumis melo L.) maturity during cultivation

  Jung-Hyun Lee, Akane Morita, Manabu Kuroshima, Shuso Kawamura, Shigenobu Koseki

  Journal of Food Measurement and Characterization 12 (4) 2899 - 2904 2193-4126 2018/12/16 [Refereed][Not invited]
  
• Stochastic evaluation of Salmonella enterica lethality during thermal inactivation

  Abe Hiroki, Koyama Kento, Kawamura Shuso, Koseki Shigenobu

  INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY 285 129 - 135 0168-1605 2018/11/20 [Refereed][Not invited]
   

  Stochastic models take into account the uncertainty and variability of predictions in quantitative microbial risk assessment. However, a model that considers thermal inactivation conditions can better predict whether or not bacteria in food are alive. To this end, we describe a novel probabilistic modelling procedure for accurately predicting thermal end point, in contrast to conventional kinetic models that are based on extrapolation of the D value. We used this new model to investigate changes in the survival probability of Salmonella enterica serotype Oranienburg during thermal processing. These changes were accurately described by a cumulative gamma distribution. The predicted total bacterial reduction time with a survival probability of 10-6-the commercial standard for sterility-was significantly shorter than that predicted by the conventional deterministic kinetic model. Thus, the survival probability distribution can explain the heterogeneity in total reduction time for a bacterial population. Furthermore, whereas kinetic methodologies may overestimate the time required for inactivation, our method for determining survival probability distribution can provide an accurate estimate of thermal inactivation and is therefore an important tool for quantitative microbial risk assessment of foods.
• Meta-analytic review on the impact of temperature and water activity in deoxynivalenol synthesis by fusarium graminearum

  Cambaza, E.M., Koseki, S., Kawamura, S.

  Food Research 2 (5) 443 - 446 2018/10 [Refereed][Not invited]
   

  © 2018 The Authors. Deoxynivalenol (DON) is a mycotoxin produced by Fusarium species, causing involuntary regurgitation in animals including humans. Some studies showed that its synthesis is influenced by environmental factors such as temperature and water activity (aw). This article presents a meta-analysis of two major studies on the phenomenon, discussing on what should be expected in future research in this direction. The specimens were cultured in maize and wheat. In all experiments, Fusarium graminearum was incubated at 15oC, 22oC, 25oC, 28oC and 30oC. At room temperature, the water activity was set to 0.95, 0.97, 0.99, and 0.995. Then, levels of DON were quantified weekly since the 14th day until the 49th day, using HPLC with UV detector at 220 nm. Temperature and water activity seem to have an impact on DON synthesis, though the true correlations still require further analysis.
• Growth-Inhibitory Effect of d -Tryptophan on Vibrio spp. in Shucked and Live Oysters

  Jian Chen, Hiroko Kudo, Kaito Kan, Shuso Kawamura, Shige Koseki

  Applied and Environmental Microbiology 84 (19) 0099-2240 2018/10 [Refereed][Not invited]
  
• Growth delay analysis of high-salt injured Escherichia coli O157:H7 in fermented soybean paste by real-time PCR and comparison of this method with other estimation methods

  Yukie Hosotani, Fia Noviyanti, Shigenobu Koseki, Yasuhiro Inatsu, Susumu Kawasaki

  LWT 96 426 - 431 0023-6438 2018/10/01 [Refereed][Not invited]
   

  The aim of this study was to develop an estimation method for bacterial injury levels of Escherichia coli O157:H7 in food products. Bacterial growth was monitored in recovery medium and quantified by real-time PCR to quantify the growth delay phenomenon as growth delay time (GDT). The relationship between GDT and stress levels (salt-concentration: 9, 13, 15, and 17% stress exposure times:0, 6, 12, 18, and 24 h) was determined. The GDT increased with stress exposure time, and the higher the salt concentration was, the faster the GDT increased. Moreover, bacterial injury levels in 15% NaCl-containing media were estimated by a conventional culture-based method, bacterial membrane destruction assay, NADPH content assay, and intercellular ATP content assay. In these estimations, the result suggested a decrease in bacterial activity and increase in bacterial membrane destruction from 6 to 12 h of exposure, which was consistent with the results of the GDT monitoring method. Furthermore, the estimation of bacterial injury levels in high-salt food (fermented soybean paste) was investigated, and GDT extension was successfully observed until the bacteria completely reached sublethal conditions. Therefore, GDT monitoring by real-time PCR showed the ability to estimate bacterial injury levels along with other existing methods.
• A glance at aflatoxin research in mozambique

  Cambaza, E., Koseki, S., Kawamura, S.

  International Journal of Environmental Research and Public Health 15 (8) 1660-4601 2018/08 [Refereed][Not invited]
  
• The use of colors as an alternative to size in fusarium graminearum growth studies

  Cambaza, E., Koseki, S., Kawamura, S.

  Foods 7 (7) 2304-8158 2018/07 [Refereed][Not invited]
  
• Aflatoxins in mozambique: Etiology, epidemiology and control

  Cambaza, E., Koseki, S., Kawamura, S.

  Agriculture (Switzerland) 8 (7) 2077-0472 2018/07 [Refereed][Not invited]
  
• Predictive Modeling for the Growth of Salmonella Enteritidis in Chicken Juice by Real-Time Polymerase Chain Reaction

  Noviyanti, F., Hosotani, Y., Koseki, S., Inatsu, Y., Kawasaki, S.

  Foodborne Pathogens and Disease 15 (7) 406 - 412 1535-3141 2018/07 [Refereed][Not invited]
  
• Aflatoxins in mozambique: Impact and potential for intervention

  Cambaza, E., Koseki, S., Kawamura, S.

  Agriculture (Switzerland) 8 (7) 2077-0472 2018/07 [Refereed][Not invited]
  
• Inner structure visualization of fresh fruits utilizing ultrasonic velocity profiler

  Taiki Yoshida, Yuji Tasaka, Hyun Jin Park, Yuichi Murai, Hiroki Teramura, Shigenobu Koseki

  Journal of Visualization 21 (2) 253 - 265 1875-8975 2018/04/01 [Refereed][Not invited]
   

  Abstract: We proposed a novel ultrasonic Doppler–echo visualization method that is expected to realize nondestructive visualization using an ultrasonic velocity profiler. The visualization uses information of both the Doppler velocity and echo intensity that have usually been used by the ultrasonic velocity profiler to obtain instantaneous velocity profiles. The feasibility of the method is confirmed by measurements of a rubber ball, apple, and tomato having different acoustic impedances, pulp hardnesses, shapes, and inner structures. Mathematical relations and image processing parameters were discussed to obtain images of the inner structures of test objects using the ultrasonic velocity profiler. Trial measurements of test objects elucidated that the Doppler velocity and echo intensity detect different features of the test objects. Using the Doppler velocity and echo intensity, the outlines and inner structures of the objects can be visualized.
• Growth delay analysis of heat-injured Salmonella Enteritidis in ground beef by real-time PCR

  Susumu Kawasaki, Yukie Hosotani, Fia Noviyanti, Shigenobu Koseki, Yasuhiro Inatsu

  LWT - Food Science and Technology 90 499 - 504 0023-6438 2018/04/01 [Refereed][Not invited]
   

  We aimed to estimate the bacterial injury level from ground beef samples that underwent various heat exposure treatments. The growth delay time (GDT) in recovery medium was estimated by real-time PCR monitoring assay. Samples of Salmonella Enteritidis in PBS and ground beef were exposed to heat stress in water bath at 52.5–62.5 °C for 0–60 min. Heat-treated samples were transferred to fresh trypticase soy broth, and S. Enteritidis growth recovery was monitored by real-time PCR. Sampling was conducted every 2 h, and total DNA was extracted. The S. Enteritidis cell number was estimated by real-time PCR, and growth recovery curve was constructed from the DNA copy number of the Salmonella invA gene. Growth recovery curve was used for kinetic analysis of GDT. Injured bacteria level in ground beef samples after heat exposure shown differences compared to PBS, where ground beef samples had lower variations in GDT than did PBS samples. Relationship between GDT and heat exposure time was observed where the slope of GDT increased as heat exposure time extended. Recovery of heat-treated S. Enteritidis in near sub-lethal conditions in PBS and ground beef samples, which could not be evaluated by traditional culture methods, was successfully monitored by real-time PCR.
• Inner structure visualization of fresh fruits utilizing ultrasonic velocity profiler

  Taiki Yoshida, Yuji Tasaka, Hyun Jin Park, Yuichi Murai, Hiroki Teramura, Shigenobu Koseki

  Journal of Visualization 21 (2) 253 - 265 1875-8975 2018/04/01 [Refereed][Not invited]
   

  Abstract: We proposed a novel ultrasonic Doppler–echo visualization method that is expected to realize nondestructive visualization using an ultrasonic velocity profiler. The visualization uses information of both the Doppler velocity and echo intensity that have usually been used by the ultrasonic velocity profiler to obtain instantaneous velocity profiles. The feasibility of the method is confirmed by measurements of a rubber ball, apple, and tomato having different acoustic impedances, pulp hardnesses, shapes, and inner structures. Mathematical relations and image processing parameters were discussed to obtain images of the inner structures of test objects using the ultrasonic velocity profiler. Trial measurements of test objects elucidated that the Doppler velocity and echo intensity detect different features of the test objects. Using the Doppler velocity and echo intensity, the outlines and inner structures of the objects can be visualized.
• Quantitative evaluation of changes in color during maillard reaction for development of novel time-temperature integrators/indicators

  Lee, J.-H., Kawamura, S., Koseki, S.

  Food Science and Technology Research 24 (2) 283 - 287 1344-6606 2018/03 [Refereed][Not invited]
  
• Development of a Novel Time-Temperature Integrator/Indicator (TTI) Based on the Maillard Reaction for Visual Thermal Monitoring of the Cooking Process

  Jung Hyun Lee, Rikako Harada, Shuso Kawamura, Shigenobu Koseki

  Food and Bioprocess Technology 11 (1) 185 - 193 1935-5149 2018/01/01 [Refereed][Not invited]
   

  There is a lack of easy-to-use hardware providing clear indications regarding both current temperature and temperature history during thermal processing. The objective of this study was to use the Maillard reaction to develop a novel time-temperature integrator/indicator (TTI) that would be able to perform these tasks during the cooking process. To this end, we comprehensively tested the Maillard reaction using various conditions to determine those under which the reaction illustrated obvious color change when temperature was held at 75 °C for 1 min, which is the recommendation of the Japanese government regarding safe meat product cooking. After adjusting various parameters related to the reaction, we managed to deduce a reaction system of d-ribose (7.0 mol/kg) and l-lysine (3.0 mol/kg) with dibasic potassium phosphate (0.5 mol/kg) satisfying the color-change criterion. The developed Maillard reaction-based TTI consisted of two transparent plastic poaches connected through a loose half-seal. Breaking the half-seal by pushing with fingers results in the mixing of the solutions and the initiation of the Maillard reaction. The TTI was tested in hamburger cooking and its color clearly changed from colorless to brown in hamburger during the 1-min hold at 75 °C, and also successfully eliminated viable 106 CFU/g Escherichia coli O157:H7 cells. The developed TTI will enable to help ensure microbiological safety.
• Characteristics of D-tryptophan as an antibacterial agent: Effect of sodium chloride concentration and temperature on Escherichia coli growth inhibition

  Kaito Kan, Jian Chen, Shuso Kawamura, Shigenobu Koseki

  Journal of Food Protection 81 (1) 25 - 30 1944-9097 2018/01/01 [Refereed][Not invited]
   

  We previously reported that D-tryptophan exhibits adverse effects on bacterial physiology under osmotic stress. However, the mechanism by which D-tryptophan acts as an inhibitor and/or incompatible solute for bacterial growth has not yet been investigated in detail. In this study, we aimed to determine how osmotic pressure and temperature affect the antimicrobial effect of D-tryptophan. Even at the same level of osmotic pressure, D-tryptophan in conjunction with sodium chloride (NaCl) had a stronger inhibitory effect on the growth of Escherichia coli than that obtained by incubation with potassium chloride (KCl) and sucrose. Because D-tryptophan with NaCl showed the strongest inhibitory effect, we determined the optimum concentration combination of D-tryptophan and NaCl. The growth inhibition boundary conditions as a function of D-tryptophan and NaCl concentrations were determined by a logistic regression model. We found that the minimum level of NaCl for E. coli growth inhibition was 2.5% (w/v) together with 40 mM D-tryptophan. Moreover, the higher the NaCl concentration, the lower the concentration of D-tryptophan that was needed to inhibit bacterial growth. The logistic regression model that we developed enabled us to predict the concentrations required to inhibit bacterial growth. Furthermore, we examined the effect of incubation temperatures ranging from 15 to 468C on the antimicrobial effect of D-tryptophan. The higher the reaction temperature, the more rapid the decrease of viable E. coli that was observed. This trend is likely attributable to activation of physiological metabolism under the optimum growth temperature. Together, our findings should make a significant contribution to the development of a novel bacterial growth control strategy using D-tryptophan.
• Physical properties of NERICA compared to indica and Japonica types of rice

  Diaz, E.O., Kawamura, S., Koseki, S.

  AMA, Agricultural Mechanization in Asia, Africa and Latin America 49 (2) 68 - 73 0084-5841 2018 [Refereed][Not invited]
  
• Non-destructive online real-time milk quality determination in a milking robot using near-infrared spectroscopic sensing system

  Patricia Iweka, Shuso Kawamura, Tomohiro Mitani, Shigenobu Koseki

  Arid Zone Journal of Engineering, Technology and Environment 18 121 - 128 2018 [Refereed][Not invited]
  
• Estimation of the probability of bacterial population survival: Development of a probability model to describe the variability in time to inactivation of Salmonella enterica

  Kento Koyama, Hidekazu Hokunan, Mayumi Hasegawa, Shuso Kawamura, Shigenobu Koseki

  FOOD MICROBIOLOGY 68 121 - 128 0740-0020 2017/12 [Refereed][Not invited]
   

  Despite the development of numerous predictive microbial inactivation models, a model focusing on the variability in time to inactivation for a bacterial population has not been developed. Additionally, an appropriate estimation of the risk of there being any remaining bacterial survivors in foods after the application of an inactivation treatment has not yet been established. Here, Gamma distribution, as a representative probability distribution, was used to estimate the variability in time to inactivation for a bacterial population. Salmonella enterica serotype Typhimurium was evaluated for survival in a low relative humidity environment. We prepared bacterial cells with an initial concentration that was adjusted to 2 x 10n colony-forming units/2 mu l (n = 1, 2, 3, 4, 5) by performing a serial 10-fold dilution, and then we placed 2 ml of the inocula into each well of 96-well microplates. The microplates were stored in a desiccated environment at 10-20% relative humidity at 5, 15, or 25 degrees C. The survival or death of bacterial cells for each well in the 96-well microplate was confirmed by adding tryptic soy broth as an enrichment culture. The changes in the death probability of the 96 replicated bacterial populations were described as a cumulative Gamma distribution. The variability in time to inactivation was described by transforming the cumulative Gamma distribution into a Gamma distribution. We further examined the bacterial inactivation on almond kernels and radish sprout seeds. Additionally, we described certainty levels of bacterial inactivation that ensure the death probability of a bacterial population at six decimal reduction levels, ranging from 90 to 99.9999%. Consequently, the probability model developed in the present study enables us to estimate the death probability of bacterial populations in a desiccated environment over time. This probability model may be useful for risk assessment to estimate the amount of remaining bacteria in a given sample. (C) 2017 Elsevier Ltd. All rights reserved.
• Inactivation of Nonpathogenic Escherichia coli, Escherichia coli O157:H7, Salmonella enterica Typhimurium, and Listeria monocytogenes in Ice Using a UVC Light-Emitting Diode

  Suguru Murashita, Shuso Kawamura, Shigenobu Koseki

  JOURNAL OF FOOD PROTECTION 80 (7) 1198 - 1203 0362-028X 2017/07 [Refereed][Not invited]
   

  Ice, widely used in the food industry, is a potential cause of food poisoning resulting from microbial contamination Direct microbial inactivation of ice is necessary because microorganisms may have been present in the source water used to make it and/or may have been introduced due to poor hygiene during production or handling of the ice. Nonthermal and nondestructive microbial inactivation technologies are needed to control microorganisms in ice. We evaluated the applicability of a UVC light emitting diode (UVC-LED) for microbial inactivation in ice. The effects of UV intensity and UV dose of the UVC-LED on Escherichia coli ATCC 25922 and a comparison of UVC-LED with a conventional UV lamp for effective bacterial inactivation in distilled water and ice cubes were investigated to evaluate the performance of the UVC-LED. Finally, we assessed the effects of the UVC-LED on pathogens such as E coli O157:H7, Salmonella Typhimurium, and Listeria monocyto genes in ice cubes. The results indicated that UVC-LED effectiveness depended on the UV dose at all UV intensity conditions (0.084, 0.025, 0.013, 0.007, and 0.005 mW/cm(2)) in ice and that UVC-LED could more efficiently inactivate E. coli ATCC 25922 in distilled water and ice than the UV lamp. At a UV dose of 2.64 mJ/cm(2), E. coli in distilled water was decreased by 0.90 log CFU/mL (UV lamp) and by more than 7.0 log CFU/mL (UVC-LED). At 15.2 mJ/cm(2), E. coli in ice was decreased by 3.18 log CFU/mL (UV lamp) and by 4.45 CFU/mL (UVC-LED). Furthermore, UVC-LED irradiation reduced the viable number of pathogens by 6 to 7 log cycles at 160 mJ/cm(2), although the bactericidal effect was somewhat dependent on the type of bacteria. L. monocyto genes in ice was relatively more sensitive to UVC irradiation than were E. coli O157:117 and Salmonella Typhimurium. These results demonstrate that UVC-LED irradiation could contribute to the safety of ice in the food industry.
• A Novel Approach to Predict the Growth of Staphylococcus aureus on Rice Cake

  Jun Wang, Shige Koseki, Mi-Ja Chung, Deog-Hwan Oh

  FRONTIERS IN MICROBIOLOGY 8 1664-302X 2017/06 [Refereed][Not invited]
   

  This study aimed to investigate the growth kinetics of Staphylococcus aureus on rice cake and to determine the shelf life based on the probability model of the increase in S. aureus contamination on rice cake. Secondary models were developed based on the growth parameters derived from the Baranyi model at constant temperatures (15, 25, 35, and 45 0). External validation was then conducted using additional data under experimental conditions not used in development of the models to verify the performance and reliability of the developed model through different goodness-of-fit indices. Furthermore, the growth of S. aureus on rice cake under dynamic temperature was obtained with the root mean square error (RMSE) of 0.218 and the 90.9% acceptable prediction rate. In addition, probability models of the 1-, 2-, 3-, and 4-log increases of S. aureus on rice cake were also developed from the data, which could provide the probability and the time to a certain log increase. The results of validation demonstrated that the developed predictive model and the obtained growth parameters could be used for evaluating the growth behavior of S. aureus on rice cake under different conditions, and qualified to supply sufficient information for microbiological risk assessment studies of S. aureus on rice cake in Korea.
• A Novel Approach to Predict the Growth of Staphylococcus aureus on Rice Cake

  Jun Wang, Shige Koseki, Mi-Ja Chung, Deog-Hwan Oh

  FRONTIERS IN MICROBIOLOGY 8 1664-302X 2017/06 [Refereed][Not invited]
   

  This study aimed to investigate the growth kinetics of Staphylococcus aureus on rice cake and to determine the shelf life based on the probability model of the increase in S. aureus contamination on rice cake. Secondary models were developed based on the growth parameters derived from the Baranyi model at constant temperatures (15, 25, 35, and 45 0). External validation was then conducted using additional data under experimental conditions not used in development of the models to verify the performance and reliability of the developed model through different goodness-of-fit indices. Furthermore, the growth of S. aureus on rice cake under dynamic temperature was obtained with the root mean square error (RMSE) of 0.218 and the 90.9% acceptable prediction rate. In addition, probability models of the 1-, 2-, 3-, and 4-log increases of S. aureus on rice cake were also developed from the data, which could provide the probability and the time to a certain log increase. The results of validation demonstrated that the developed predictive model and the obtained growth parameters could be used for evaluating the growth behavior of S. aureus on rice cake under different conditions, and qualified to supply sufficient information for microbiological risk assessment studies of S. aureus on rice cake in Korea.
• Modeling Stochastic Variability in the Numbers of Surviving Salmonella enterica, Enterohemorrhagic Escherichia coli, and Listeria monocytogenes Cells at the Single-Cell Level in a Desiccated Environment

  Kento Koyama, Hidekazu Hokunan, Mayumi Hasegawa, Shuso Kawamura, Shigenobu Koseki

  APPLIED AND ENVIRONMENTAL MICROBIOLOGY 83 (4) 0099-2240 2017/02 [Refereed][Not invited]
   

  Despite effective inactivation procedures, small numbers of bacterial cells may still remain in food samples. The risk that bacteria will survive these procedures has not been estimated precisely because deterministic models cannot be used to describe the uncertain behavior of bacterial populations. We used the Poisson distribution as a representative probability distribution to estimate the variability in bacterial numbers during the inactivation process. Strains of four serotypes of Salmonella enterica, three serotypes of enterohemorrhagic Escherichia coli, and one serotype of Listeria monocytogenes were evaluated for survival. We prepared bacterial cell numbers following a Poisson distribution (indicated by the parameter lambda, which was equal to 2) and plated the cells in 96-well microplates, which were stored in a desiccated environment at 10% to 20% relative humidity and at 5, 15, and 25 degrees C. The survival or death of the bacterial cells in each well was confirmed by adding tryptic soy broth as an enrichment culture. Changes in the Poisson distribution parameter during the inactivation process, which represent the variability in the numbers of surviving bacteria, were described by nonlinear regression with an exponential function based on a Weibull distribution. We also examined random changes in the number of surviving bacteria using a random number generator and computer simulations to determine whether the number of surviving bacteria followed a Poisson distribution during the bacterial death process by use of the Poisson process. For small initial cell numbers, more than 80% of the simulated distributions (lambda =2 or 10) followed a Poisson distribution. The results demonstrate that variability in the number of surviving bacteria can be described as a Poisson distribution by use of the model developed by use of the Poisson process. IMPORTANCE We developed a model to enable the quantitative assessment of bacterial survivors of inactivation procedures because the presence of even one bacterium can cause foodborne disease. The results demonstrate that the variability in the numbers of surviving bacteria was described as a Poisson distribution by use of the model developed by use of the Poisson process. Description of the number of surviving bacteria as a probability distribution rather than as the point estimates used in a deterministic approach can provide a more realistic estimation of risk. The probability model should be useful for estimating the quantitative risk of bacterial survival during inactivation.
• Effects of Ohmic Heating, Including Electric Field Intensity and Frequency, on Thermal Inactivation of Bacillus subtilis Spores

  Suguru Murashita, Shuso Kawamura, Shigenobu Koseki

  JOURNAL OF FOOD PROTECTION 80 (1) 164 - 168 0362-028X 2017/01 [Refereed][Not invited]
   

  Methods for microbial inactivation are important in the food industry; however, conventional external heating (CH) reduces food quality. Accordingly, the nonthermal effects of ohmic heating (OH) on Bacillus subtilis spores in a sodium chloride aqueous solution at 101 degrees C (i.e., the boiling point), as well as the effects of electric field intensity and frequency during OH, were investigated. Survival kinetics were compared between OH and external CH. The inactivation effect on B. subtilis was greater for all electric field conditions (5, 10, and 20 V/cm) than for CH. In particular, 20 V/cm showed a significantly higher inactivation effect (P < 0.05) on B. subtilis than those of CH at 8, 10, 12, 14, and 16 min. The survival data were fitted to various primary kinetic models. In the Weibull model and the log-linear model, there were significant differences (P < 0.05) in the rate parameters delta and k(max) between OH at 20 V/cm and CH. However, there were no significant differences (P > 0.05) in survival kinetics between 20, 40, and 60 kHz; B. subtilis spores were inactivated more efficiently as the frequency increased. B. subtilis spores were almost completely inactivated at 14 to 16 min for the 60-kHz treatment, but spores were still alive at 20 and 40 kHz for the same treatment times. These results demonstrated that OH inactivates B. subtilis spores more effectively than CH. OH conditions with high electric field intensities and high frequencies resulted in efficient B. subtilis spore inactivation.
• Do bacterial cell numbers follow a theoretical Poisson distribution? Comparison of experimentally obtained numbers of single cells with random number generation via computer simulation

  Kento Koyama, Hidekazu Hokunan, Mayumi Hasegawa, Shuso Kawamura, Shigenobu Koseki

  FOOD MICROBIOLOGY 60 49 - 53 0740-0020 2016/12 [Refereed][Not invited]
   

  We investigated a bacterial sample preparation procedure for single-cell studies. In the present study, we examined whether single bacterial cells obtained via 10-fold dilution followed a theoretical Poisson distribution. Four serotypes of Salmonella enterica, three serotypes of enterohaemorrhagic Escherichia coli and one serotype of Listeria monocytogenes were used as sample bacteria. An inoculum of each serotype was prepared via a 10-fold dilution series to obtain bacterial cell counts with mean values of one or two. To determine whether the experimentally obtained bacterial cell counts follow a theoretical Poisson distribution, a likelihood ratio test between the experimentally obtained cell counts and Poisson distribution which parameter estimated by maximum likelihood estimation (MLE) was conducted. The bacterial cell counts of each serotype sufficiently followed a Poisson distribution. Furthermore, to examine the validity of the parameters of Poisson distribution from experimentally obtained bacterial cell counts, we compared these with the parameters of a Poisson distribution that were estimated using random number generation via computer simulation. The Poisson distribution parameters experimentally obtained from bacterial cell counts were within the range of the parameters estimated using a computer simulation. These results demonstrate that the bacterial cell counts of each serotype obtained via 10-fold dilution followed a Poisson distribution. The fact that the frequency of bacterial cell counts follows a Poisson distribution at low number would be applied to some single-cell studies with a few bacterial cells. In particular, the procedure presented in this study enables us to develop an inactivation model at the single-cell level that can estimate the variability of survival bacterial numbers during the bacterial death process. (C) 2016 Elsevier Ltd. All rights reserved.
• Survival Kinetics of Salmonella enterica and Enterohemorrhagic Escherichia coli on a Plastic Surface at Low Relative Humidity and on Low-Water Activity Foods

  Hidekazu Hokunan, Kento Koyama, Mayumi Hasegawa, Shuso Kawamura, Shigenobu Koseki

  JOURNAL OF FOOD PROTECTION 79 (10) 1680 - 1692 0362-028X 2016/10 [Refereed][Not invited]
   

  We investigated the survival kinetics of Salmonella enterica and enterohemorrhagic Escherichia coli under various water activity (a(w)) conditions to elucidate the net effect of a(w) on pathogen survival kinetics and to pursue the development of a predictive model of pathogen survival as a function of a(w). Four serotypes of S. enterica (Stanley, Typhimurium, Chester, and Oranienburg) and three serotypes of enterohemorrhagic E. coli (E. coli 026, E. coli 0111, and E. coli 0157:H7) were examined. These bacterial strains were inoculated on a plastic plate surface at a constant relative humidity (RH) (22, 43, 58, 68; or 93% RH, corresponding to the a) or on a surface of almond kernels (a(w) 0.58), chocolate (a(w) 0.43), radish sprout seeds. (a(w) 0.58), or Cheddar cheese (a(w) 0.93) at 5, 15, or 25 C for up to 11 months. Under most conditions, the survival kinetics were nonlinear with tailing regardless of the storage a(w), temperature, and bacterial strain. For all bacterial serotypes, there were no apparent differences in pathogen survival kinetics on the plastic surface at a given storage temperature among the tested RH conditions, except for the 93% RH condition. Most bacterial serotypes were rapidly inactivated on Cheddar cheese when stored at 5 degrees C compared with their inactivation on chocolate, almonds, and radish sprout seeds. Distinct trends in bacterial survival kinetics were also observed between almond kernels and radish sprout seeds, even though the a(w)s of these two foods were not significantly different. The survival kinetics of bacteria inoculated on the plastic plate surface showed little correspondence to those of bacteria inoculated on food matrices at an identical a(w). Thus, these results demonstrated that, for low-a(w) foods and/or environments, a alone is insufficient to account for the survival kinetics of S. enterica and enterohemorrhagic E. coli.
• Comparative quality changes of fresh-cut melon in bio-based and petroleum-based plastic containers during storage

  Huijuan Zhou, Shuso Kawamura, Shigenobu Koseki, Toshinori Kimura

  Environmental Control in Biology 54 (2) 93 - 99 1883-0986 2016 [Refereed][Not invited]
   

  Fresh-cut melon, 'Rupia red' cultivar, was packaged in snap-fit closed packages made from polylactic acid (PLA) and polyethylene terephthalate (PET) and stored at 4 and 10°C for 10 d. Changes in quality of fresh-cut melon, including weight loss, juice leakage, surface color, firmness, soluble solids content (SSC), pH, titratable acidity (TA), Vitamin C and sensory quality, were evaluated throughout the storage period. Overall quality of fresh-cut melon declined regardless of the packaging material. Melon cubes in both packages showed increases in weight loss, juice leakage and TA and they showed decreases in surface color (L∗, a∗, b∗), firmness, SSC, pH, Vitamin C and sensory evaluation. No significant difference in color, firmness, pH, TA or sensory evaluation was observed either of the packages at 4°C, but significant differences in color (L∗, a∗, b∗, ΔE) between the melon cubes in the two packages were found after 7 d of storage at 10°C. Due to higher water vapor and oxygen permeability, the PLA containers used in this study maintained overall quality of fresh-cut melon better than did the PET containers at 10°C during 10 d of storage. Bio-based PLA is a suitable alternative to petroleum-based PET for storage of fresh-cut melon.
• Growth Inhibition of Listeria monocytogenes, Salmonella enterica, and Escherichia coli O157:H7 by D-Tryptophan as an Incompatible Solute

  Shigenobu Koseki, Nobutaka Nakamura, Takeo Shiina

  JOURNAL OF FOOD PROTECTION 78 (4) 819 - 824 0362-028X 2015/04 [Refereed][Not invited]
   

  Under osmotic stress, bacterial cells uptake compatible solutes such as glycine-betaine to maintain homeostasis. It is unknown whether incompatible solutes exist that are similar in structure to compatible solutes but have adverse physiological effects on bacterial physiology. The objective of this study was to evaluate solute incompatibility of various amino acids against bacterial growth. Bacterial growth was evaluated by changes in optical density at 595 nm in peptone-yeast-glucose (PYG) broth. Twenty-three amino acids with L and/or D isomers were examined for the effect of bacterial growth inhibition. Among the various amino acids examined, D-tryptophan (similar to 40 mM) in PYG broth supplemented with 0 to 4% (wt/vol) salt inhibited the growth of Listeria monocytogenes, Salmonella enterica, and Escherichia coli 0157:117 at 25 degrees C. D-Tryptophan (30 to 40 mM) completely inhibited the growth of E. coli O157:H7 and Salmonella in the presence of >3% salt, but the growth of L. monocytogenes was not completely inhibited under the same conditions. Low concentrations of salt (0 to 2% NaCl) with D-tryptophan did not significantly inhibit the growth of all bacteria except L. monocytogenes, which was relatively inhibited at 0% NaCl. The effect of D-tryptophan differed depending on the bacterial species, illustrating the difference between gram-positive and gram-negative bacteria. These results indicate that the uptake of D-tryptophan as a compatible solute during osmotic stress may inhibit bacterial growth. The antibacterial effect of D-tryptophan found in this study suggests that D-tryptophan could be used as a novel preservative for controlling bacterial growth in foods.
• Physical properties of rough and brown rice of Japonica, Indica and NERICA types

  D{\'i}az, E.O., Kawamura, S., Koseki, S.

  Agricultural Engineering International: CIGR Journal 2015 274 - 285 2015/01 [Refereed][Not invited]
   

  © 2015, Int. Comm. of Agricultural and Biosystems Engineering. All rights reserved. This research involved a study of the physical properties of rough and brown rice of various types. The effect of kernel thickness on physical properties was analyzed. Fundamental physical properties, such as dimensions, mass, and frictional characteristics, were measured for different fractions of rough and brown rice of seven different varieties: Nanatsuboshi, Yumepirika, Oborozuki (Japonica type), IR-28, IR-50, IR-64 (Indica type), and NERICA-4 (NERICA type). Results showed that, in both rough and brown rice, the physical properties of the NERICA type showed a closer relationship with the Indica type than they did with the Japonica type. Moreover, statistical analysis indicated that the physical properties were affected by kernel thickness within each variety of rough and brown rice. Such information could be helpful in designing facilities and machines required for rice processing and storage.
• Comparison of Desiccation Tolerance among Listeria monocytogenes, Escherichia coli O157:H7, Salmonella enterica, and Cronobacter sakazakii in Powdered Infant Formula

  Shigenobu Koseki, Nobutaka Nakamura, Takeo Shiina

  JOURNAL OF FOOD PROTECTION 78 (1) 104 - 110 0362-028X 2015/01 [Refereed][Not invited]
   

  Bacterial pathogens such as Listeria monocytogenes, Escherichia coli O157:H7, Salmonella enterica, and Cronobacter sakazakii have demonstrated long-term survival in/on dry or low-water activity (a(w)) foods. However, there have been few comparative studies on the desiccation tolerance among these bacterial pathogens separately in a same food matrix. In the present study, the survival kinetics of the four bacterial pathogens separately inoculated onto powdered infant formula as a model low-a(w) food was compared during storage at 5, 22, and 35 degrees C. No significant differences in the survival kinetics between E. coli O157:H7 and L. monocyto genes were observed. Salmonella showed significantly higher desiccation tolerance than these pathogens, and C. sakazakii demonstrated significantly higher desiccation tolerance than all other three bacteria studied. Thus, the desiccation tolerance was represented as C. sakazakii > Salmonella > E. coli O157:H7 = L. monocytogenes. The survival kinetics of each bacterium was mathematically analyzed, and the observed kinetics was successfully described using the Weibull model. To evaluate the variability of the inactivation kinetics of the tested bacterial pathogens, the Monte Carlo simulation was performed using assumed probability distribution of the estimated fitted parameters. The simulation results showed that the storage temperature significantly influenced survival of each bacterium under the dry environment, where the bacterial inactivation became faster with increasing storage temperature. Furthermore, the fitted rate and shape parameters of the Weibull model were successfully modelled as a function of temperature. The numerical simulation of the bacterial inactivation was realized using the functions of the parameters under arbitrary fluctuating temperature conditions.
• Process Hygiene: Hygiene in the Catering Industry

  Koseki, S.

  Encyclopedia of Food Microbiology: Second Edition 2014
• Characterization and Modeling of Salmonella Growth in Pasteurized and Non-pasteurized Milk Using Real-Time PCR

  KAWASAKI Susumu, SHIMIZU Shigemasa, KOSEKI Shigenobu, INATSU Yasuhiro

  Japanese Journal of Food Microbiology 日本食品微生物学会 31 (1) 28 - 35 1340-8267 2014 [Refereed][Not invited]
   

  The Salmonella growth was monitored in pasteurized and non- pasteurized milk using real-time PCR, and growth prediction model was constructed based on the results. Pasteurized and non- pasteurized milk were inoculated with Salmonella to a concentration of 10⁴ CFU/ml, and the Salmonella growth was monitored for 168 hours at 4℃ to 35℃ using traditional culture method and real-time PCR. With real-time PCR, total-DNA was directly extracted from 1 ml of pasteurized and non- pasteurized milk, and the copy number of Salmonella invA was quantified and converted to the Salmonella cell count. The Salmonella cell counts estimated by traditional culture method and real-time PCR in pasteurized milk were very similar, and these results were reflecting the MRV predictive model. A predictive growth curve was constructed from the Salmonella cell count estimated using real-time PCR, and a relational expression for the maximum growth rate (μmax) and incubation temperature was derived using the square-root model. Comparison of μmax between pasteurized and non-pasteurized milk showed a slightly lower μmax of Salmonella for non- pasteurized milk compared to pasteurized milk, and the maximum cell concentration also tended to be lower for non- pasteurized milk. Application of the real-time PCR monitoring and predictive microbiological analysis enables rapid provision of a growth prediction formula that includes the effects of microbacterial flora and food matrices.
• Growth modeling of Listeria monocytogenes in pasteurized liquid egg

  Miho Ohkochi, Shigenobu Koseki, Masaaki Kunou, Katsuaki Sugiura, Hirokazu Tsubone

  Journal of Food Protection 76 (9) 1549 - 1556 0362-028X 2013/09 [Refereed][Not invited]
   

  The growth kinetics of Listeria monocytogenes and natural flora in commercially produced pasteurized liquid egg was examined at 4.1 to 19.4°C, and a growth simulation model that can estimate the range of the number of L. monocytogenes bacteria was developed. The experimental kinetic data were fitted to the Baranyi model, and growth parameters, such as maximum specific growth rate (μmax), maximum population density (Nmax), and lag time (λ), were estimated. As a result of estimating these parameters, we found that L. monocytogenes can grow without spoilage below 12.2°C, and we then focused on storage temperatures below 12.2°C in developing our secondary models. The temperature dependency of the mmax was described by Ratkowsky's square root model. The Nmax of L. monocytogenes was modeled as a function of temperature, because the Nmax of L. monocytogenes decreased as storage temperature increased. A tertiary model of L. monocytogenes was developed using the Baranyi model and μmax and Nmax secondary models. The ranges of the numbers of L. monocytogenes bacteria were simulated using Monte Carlo simulations with an assumption that these parameters have variations that follow a normal distribution. Predictive simulations under both constant and fluctuating temperature conditions demonstrated a high accuracy, represented by root mean square errors of 0.44 and 0.34, respectively. The predicted ranges also seemed to show a reasonably good estimation, with 55.8 and 51.5% of observed values falling into the prediction range of the 25th to 75th percentile, respectively. These results suggest that the model developed here can be used to estimate the kinetics and range of L. monocytogenes growth in pasteurized liquid egg under refrigerated temperature. Copyright © 2013, International Association for Food Protection.
• Alternative approaches to predicting microbial behaviour: A probabilistic modelling approach for microbial inactivation and a revised web-tool, the Microbial Responses Viewer

  Shige Koseki

  FOOD CONTROL 29 (2) 416 - 421 0956-7135 2013/02 [Refereed][Not invited]
   

  An alternative predictive model for microbial inactivation and a novel web-based tool for the application of predictive microbiology are reviewed in this paper. The developed model, based on probabilistic concepts, enabled the identification of minimum processing conditions necessary to obtain a required log reduction, regardless of the underlying inactivation kinetics. The model also provides the probability distribution of the inactivation effect. The revised web-tool, the MRV (Microbial Responses Viewer), provides information concerning growth/no growth boundary conditions and the specific growth rates of queried microorganisms. The MRV enables users to retrieve microbial growth/no growth information intuitively. Using the MRV, food processors can easily identify appropriate food design and processing conditions. (C) 2012 Elsevier Ltd. All rights reserved.
• Real-Time PCRによる生乳中のサルモネラ・リステリア増殖挙動解析

  川崎 晋, 清水 茂雅, 小関 成樹, 稲津 康弘, 川本 伸一

  日本食品衛生学会学術講演会講演要旨集 (公社)日本食品衛生学会 104回 111 - 111 2012/09 [Refereed][Not invited]
  
• Alternative Approach To Modeling Bacterial Lag Time, Using Logistic Regression as a Function of Time, Temperature, pH, and Sodium Chloride Concentration

  Shige Koseki, Junko Nonaka

  APPLIED AND ENVIRONMENTAL MICROBIOLOGY 78 (17) 6103 - 6112 0099-2240 2012/09 [Refereed][Not invited]
   

  The objective of this study was to develop a probabilistic model to predict the end of lag time (lambda) during the growth of Bacillus cereus vegetative cells as a function of temperature, pH, and salt concentration using logistic regression. The developed lambda model was subsequently combined with a logistic differential equation to simulate bacterial numbers over time. To develop a novel model for lambda, we determined whether bacterial growth had begun, i.e., whether lambda had ended, at each time point during the growth kinetics. The growth of B. cereus was evaluated by optical density (OD) measurements in culture media for various pHs (5.5 similar to 7.0) and salt concentrations (0.5 similar to 2.0%) at static temperatures (10 similar to 20 degrees C). The probability of the end of lambda was modeled using dichotomous judgments obtained at each OD measurement point concerning whether a significant increase had been observed. The probability of the end of lambda was described as a function of time, temperature, pH, and salt concentration and showed a high goodness of fit. The lambda model was validated with independent data sets of B. cereus growth in culture media and foods, indicating acceptable performance. Furthermore, the lambda model, in combination with a logistic differential equation, enabled a simulation of the population of B. cereus in various foods over time at static and/or fluctuating temperatures with high accuracy. Thus, this newly developed modeling procedure enables the description of lambda using observable environmental parameters without any conceptual assumptions and the simulation of bacterial numbers over time with the use of a logistic differential equation.
• Evaluation of thermal inactivation of Escherichia coli using microelectrode ion flux measurements with osmotic stress

  S. Koseki, M. L. Tamplin, J. P. Bowman, T. Ross, T. A. McMeekin

  LETTERS IN APPLIED MICROBIOLOGY 54 (3) 203 - 208 0266-8254 2012/03 [Refereed][Not invited]
   

  Aims: To elucidate the potential use of microelectrode ion flux measurements to evaluate bacterial responses to heat treatment. Methods and Results: Escherichia coli K12 Was used as a test bacterium to determine whether various heat treatments (55-70 degrees C for 15 min) affected net ion flux across E coli cell membranes using the MIFE (TM) system to measure net K+ fluxes. No difference in K+ fluxes was observed before and after heat treatments regardless of the magnitude of the treatment. Applying hyperosmotic stress (3% NaCl w/v) during flux measurement led to a net K+ loss from the heat treated E cote cells below 65 degrees C as Well as from nonheated cells. In contrast, with E. coli cells treated at and above 65 degrees C, hyperosmotic stress disrupted the pattern of K+ flux observed at lower temperatures and resulted in large flux noise with random scatter. This phenomenon Was particularly apparent above 70 degrees C. Although E. cote cells lost the potential to recover and grow at and above 62 degrees C, K+ flux disruption was not clearly observed until 68 degrees C was reached. Conclusions: No changes in net K+ flux from heat stressed E. coli cells were observed directly as a result of thermal treatments. However, regardless of the magnitude of heat treatment above 55 degrees C, loss of viability indicated by enrichment culture correlated with disrupted K+ fluxes when previously heated cells were further challenged by imposing hyperosmotic stress during flux measurement. This two-stage process enabled evaluation of the lethality of heat treated bacterial cells within 2 h and may be an alternative and more rapid method to confirm the lethality of heat treatment. Significance and Impact of the Study: The ability to confirm the lethality of thermal treatments and to specify minimal time/temperature combinations by a nonculture-dependent test offers an alternative system to culture based methods
• Comparison of Two Possible Routes of Pathogen Contamination of Spinach Leaves in a Hydroponic Cultivation System

  Shigenobu Koseki, Yasuko Mizuno, Kazutaka Yamamoto

  JOURNAL OF FOOD PROTECTION 74 (9) 1536 - 1542 0362-028X 2011/09 [Refereed][Not invited]
   

  The route of pathogen contamination (from roots versus from leaves) of spinach leaves was investigated with a hydroponic cultivation system. Three major bacterial pathogens, Escherichia coli O157:H7, Salmonella, and Listeria monocytogenes, were inoculated into the hydroponic solution, in which the spinach was grown to give concentrations of 10(6) and 10(3) CFU/ml. In parallel, the pathogens were inoculated onto the growing leaf surface by pipetting, to give concentrations of 10(6) and 10(3) CFU per leaf. Although contamination was observed at a high rate through the root system by the higher inoculum (10(6) CFU) for all the pathogens tested, the contamination was rare when the lower inoculum (10(3) CFU) was applied. In contrast, contamination through the leaf occurred at a very low rate, even when the inoculum level was high. For all the pathogens tested in the present study, the probability of contamination was promoted through the roots and with higher inoculum levels. The probability of contamination was analyzed with logistic regression. The logistic regression model showed that the odds ratio of contamination from the roots versus from the leaves was 6.93, which suggested that the risk of contamination from the roots was 6.93 times higher than the risk of contamination from the leaves. In addition, the risk of contamination by L. monocytogenes was about 0.3 times that of Salmonella enterica subsp. enterica serovars Typhimurium and Enteritidis and E. coli O157:H7. The results of the present study indicate that the principal route of pathogen contamination of growing spinach leaves in a hydroponic system is from the plant's roots, rather than from leaf contamination itself.
• A Survey of Iceberg Lettuce for the Presence of Salmonella, Escherichia coli O157:H7, and Listeria monocytogenes in Japan

  Shigenobu Koseki, Yasuko Mizuno, Susumu Kawasaki, Kazutaka Yamamoto

  JOURNAL OF FOOD PROTECTION 74 (9) 1543 - 1546 0362-028X 2011/09 [Refereed][Not invited]
   

  No information has been available on the prevalence of pathogens in fresh produce in Japan. In the present study, information was collected on the occurrence of contamination by Salmonella, Escherichia coli O157:H7, and Listeria monocytogenes in iceberg lettuce in a Japanese retail store. A total of 419 samples of lettuce that had been harvested in different districts and/or by different producers from July 2008 to March 2009 were examined. A multiplex PCR method was used to simultaneously identify the three bacterial pathogens. No pathogenic bacteria, including Salmonella, E. coli O157:H7, and L. monocytogenes, were detected from any of the samples with this highly sensitive and validated procedure. The aerobic bacteria plate counts and coliform bacteria counts in lettuce throughout the examination period did not show any seasonal trends, and the numbers were comparable to those reported by others from around the world. Based on the results of this study, we concluded that none of the three major pathogens were present in this limited survey of iceberg lettuce sold by a retailer in Japan.
• Modeling of Pathogen Survival during Simulated Gastric Digestion

  Shige Koseki, Yasuko Mizuno, Itaru Sotome

  APPLIED AND ENVIRONMENTAL MICROBIOLOGY 77 (3) 1021 - 1032 0099-2240 2011/02 [Refereed][Not invited]
   

  The objective of the present study was to develop a mathematical model of pathogenic bacterial inactivation kinetics in a gastric environment in order to further understand a part of the infectious dose-response mechanism. The major bacterial pathogens Listeria monocytogenes, Escherichia coli O157: H7, and Salmonella spp. were examined by using simulated gastric fluid adjusted to various pH values. To correspond to the various pHs in a stomach during digestion, a modified logistic differential equation model and the Weibull differential equation model were examined. The specific inactivation rate for each pathogen was successfully described by a square-root model as a function of pH. The square-root models were combined with the modified logistic differential equation to obtain a complete inactivation curve. Both the modified logistic and Weibull models provided a highly accurate fitting of the static pH conditions for every pathogen. However, while the residuals plots of the modified logistic model indicated no systematic bias and/or regional prediction problems, the residuals plots of the Weibull model showed a systematic bias. The modified logistic model appropriately predicted the pathogen behavior in the simulated gastric digestion process with actual food, including cut lettuce, minced tuna, hamburger, and scrambled egg. Although the developed model enabled us to predict pathogen inactivation during gastric digestion, its results also suggested that the ingested bacteria in the stomach would barely be inactivated in the real digestion process. The results of this study will provide important information on a part of the dose-response mechanism of bacterial pathogens.
• Modeling and Predicting the Simultaneous Growth of Listeria monocytogenes and Natural Flora in Minced Tuna

  Shigenobu Koseki, Yoshiko Takizawa, Satoko Miya, Hajime Takahashi, Bon Kimura

  JOURNAL OF FOOD PROTECTION 74 (2) 176 - 187 0362-028X 2011/02 [Refereed][Not invited]
   

  The growth kinetics of Listeria monocytogenes and natural flora (NF) in minced tuna from 2 to 30 degrees C were examined, and a simultaneous growth model was developed. The inhibiting effect of the NF on the growth of L. monocytogenes was examined by inoculating different levels of NF isolated from the minced tuna. The kinetic data were fitted to the Baranyi model and estimated the growth parameters such as specific growth rate (mu(max)), maximum population density (N-max), and lag time. The temperature and inoculated NF dependency on the mu(max) of L. monocytogenes and NF were described by modified Ratkowsky's square-root model. As the initial NF level increased, the slopes of the square-root models were decreased for both L. monocytogenes and NF. The N-max of L. monocytogenes was described as a function of temperature and inoculated NF level. Simultaneous growth prediction of L. monocytogenes and NF under constant temperature conditions was examined by using the differential equations based on the Baranyi model with the effect of interspecies competition substituted into the developed mu(max) and N-max models. The root mean square errors between the model prediction and the observation for L. monocytogenes and NF were 0.42 and 0.34, respectively. Predictive simulation under fluctuating temperature conditions also demonstrated a high accuracy of simultaneous prediction for both L. monocytogenes and NF, representing the root mean square errors of 0.19 and 0.34, respectively. These results illustrate that the developed model permits accurate estimation of the behavior of L. monocytogenes in minced tuna under real temperature history until consumption.
• The way forward with predictive microbiology in the dairy industry

  Tom McMeekin, Mark Tamplin, Tom Ross, Shigenobu Koseki

  AUSTRALIAN JOURNAL OF DAIRY TECHNOLOGY 65 (2) 91 - 97 0004-9433 2010/08 [Refereed][Not invited]
   

  Herein we describe systems and technologies for the application of predictive models and the development of growth boundary models. The latter are supported by systematic analysis of the literature and are now used in risk assessments including those cold tolerant pathogens in minimally processed foods including dairy products. To promote further application of predictive models in the dairy industry and potential triple bottom line benefits we strongly advocate collaboration and integration of R&D at several levels.
• Microbial Responses Viewer (MRV): A new ComBase-derived database of microbial responses to food environments

  Shige Koseki

  INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY 134 (1-2) 75 - 82 0168-1605 2009/08 [Refereed][Not invited]
   

  ComBase is a large database of microbial responses to food environments and has attracted the attention of many researchers and food processors. Although ComBase contains a vast amount of data, it is not easy to obtain desired information from the retrieved data. In the present study, we developed a new ComBase-derived database (Microbial Responses Viewer, MRV) consisting of microbial growth/no growth data. The response was defined as representing "growth" if a significant increase in bacterial concentration (>1.0 log(10)) was observed. Alternatively, "growth" was defined as a positive value of the specific growth rate. The growth/no growth data of nineteen different microorganisms were extracted from all the data in ComBase comprising 29 kinds of microorganism. Furthermore, the specific growth rate of each microorganism was modelled as a function of temperature, pH, and water activity (a(w)) using a Poisson log-linear model, which is a family of generalized linear models (GLMs). For 16 of the 19 microorganisms, the specific growth/death rate was successfully modelled as a function of temperature, pH, and a(w) using GLM. The specific growth rate was illustrated using a two-dimensional contour plot with growth/no growth data. MRV provides information concerning growth/no growth boundary conditions and the specific growth rates of queried microorganisms. Using MRV, food processors can easily find the appropriate food design and processing conditions. This database will contribute to the efficient and safe production and distribution of processed foods. (C) 2008 Elsevier B.V. All rights reserved.
• Blanching of potato with superheated steam and hot water spray

  Itaru Sotome, Makiko Takenaka, Shigenobu Koseki, Yukio Ogasawara, Yoshitaka Nadachi, Hiroshi Okadome, Seiichiro Isobe

  LWT-FOOD SCIENCE AND TECHNOLOGY 42 (6) 1035 - 1040 0023-6438 2009/07 [Refereed][Not invited]
   

  A heating system using superheated steam (SHS) and a spray of hot water microdroplets (WMD) has been developed to prevent drying of food material during SHS heating. Blanching of potato was examined with the new system (SHS + WMD), SHS, and hot water. In SHS + WMD heating, a mixture of SHS at 115 degrees C, 2.46 kg/h flow rate and hot water at 0.54 kg/h was used. In SHS heating, the flow rate and temperature of the SHS were 3.0 kg/h and 115 degrees C. The temperature of the hot water was approximately 100 degrees C. Potato tissue processed with hot water became soft and brittle, and its brightness and chromatic quality decreased due to absorption of water and dissolution of solid content to the water. In contrast, these quality changes were prevented in SHS + WMD and SHS heating. Heat transfer by SHS was enhanced by the presence of WMD, presumably because the water layer formed on the potato by condensation of SHS was stirred and its thermal resistance was decreased by collisions of WMD with the potato. The mass of potato processed with SHS + WMD was almost constant during the heating, while the relative mass of potato processed with SHS decreased to 96.7% with 16 min of heating. (C) 2009 Elsevier Ltd. All rights reserved.
• Prediction of a Required Log Reduction with Probability for Enterobacter sakazakii during High-Pressure Processing, Using a Survival/Death Interface Model

  Shige Koseki, Maki Matsubara, Kazutaka Yamamoto

  APPLIED AND ENVIRONMENTAL MICROBIOLOGY 75 (7) 1885 - 1891 0099-2240 2009/04 [Refereed][Not invited]
   

  A probabilistic model for predicting Enterobacter sakazakii inactivation in trypticase soy broth (TSB) and infant formula (IF) by high-pressure processing was developed. The modeling procedure is based on a previous model (S. Koseki and K. Yamamoto, Int. J. Food Microbiol. 116: 136-143, 2007) that describes the probability of death of bacteria. The model developed in this study consists of a total of 300 combinations of pressure (400, 450, 500, 550, or 600 MPa), pressure-holding time (1, 3, 5, 10, or 20 min), temperature (25 or 40 degrees C), inoculum level (3, 5, or 7 log(10) CFU/ml), and medium (TSB or IF), with each combination tested in triplicate. For each replicate response of E. sakazakii, survival and death were scored with values of 0 and 1, respectively. Data were fitted to a logistic regression model in which the medium was treated as a dummy variable. The model predicted that the required pressure-holding times at 500 MPa for a 5-log reduction in IF with 90% achievement probability were 26.3 and 7.9 min at 25 and 40 degrees C, respectively. The probabilities of achieving 5-log reductions in TSB and IF by treatment with 400 MPa at 25 degrees C for 10 min were 92 and 3%, respectively. The model enabled the identification of a minimum processing condition for a required log reduction, regardless of the underlying inactivation kinetics pattern. Simultaneously, the probability of an inactivation effect under the predicted processing condition was also provided by taking into account the environmental factors mentioned above.
• High Hydrostatic Pressure Tolerance of Four Different Anhydrobiotic Animal Species

  Daiki D. Horikawa, Ken-Ichi Iwata, Kiyoshi Kawai, Shigenobu Koseki, Takashi Okuda, Kazutaka Yamamoto

  ZOOLOGICAL SCIENCE 26 (3) 238 - 242 0289-0003 2009/03 [Refereed][Not invited]
   

  High hydrostatic pressure (HHP) can induce physical changes in DNA, proteins, and lipids, causing lethal or sublethal damage to organisms. However, HHP tolerance of animals has not been studied sufficiently. In this study, HHP tolerance of four species of invertebrate anhydrobiotes (the tardigrade Milnesium tardigradum, a nematode species in the family Plectidae, larvae of Polypedilum vanderplanki, and cysts of Artemia franciscana), which have the potential to enter anhydrobiosis upon desiccation, were investigated by exposing them to 1.2 GPa for 20 minutes. This exposure killed the anhydrobiotes in their ordinary hydrated state, but did not affect their survival in the anhydrobiotic state. The results indicated that the hydrated anhydrobiotes were vulnerable to HHP, but that HHP of 1.2 GPa was not sufficient to kill them in anhyrdobiosis.
• Use of mild-heat treatment following high-pressure processing to prevent recovery of pressure-injured Listeria monocytogenes in milk

  Shigenobu Koseki, Yasuko Mizuno, Kazutaka Yamamoto

  FOOD MICROBIOLOGY 25 (2) 288 - 293 0740-0020 2008/02 [Refereed][Not invited]
   

  This study examined the inactivation of Listeria monocytogenes in milk by high-pressure processing (HPP) and bacterial recovery during storage after HPP. We developed a technique to inhibit the bacterial recovery during storage after HPP (550 MPa for 5 min) using a mild-heat treatment (30-50 degrees C). Various mild-heat treatments were conducted following HPP to investigate the condition on which the bacterial recovery was prevented. Immediately after HPP of 550 MPa at 25 degrees C for 5 min, no L. monocytogenes cells were detected in milk regardless of the inoculum levels (3, 5, and 7 log(10) CFU/ml). However, the number of L. monocytogenes cells increased by > 8 log(10) CFU/ml regardless of the inoculum levels after 28 days of storage at 4 degrees C. Significant recovery was observed during storage at 25 degrees C; the bacterial number increased by > 8 log(10) CFU/ml after 3 days of storage in the case of an initial inoculum level of 7 and 5 log(10) CFU/ml. Even in the case of an initial inoculum level of 3 log(10) CFU/ml, the bacterial number reached the level of 8 log(10) CFU/ml after 7 days of storage. No bacterial recovery was observed with storage at 37 degrees C for 28 days. Milk samples were treated by various mild-heat treatments (30-50 degrees C for 5-240 min) following HPP of 550 MPa at 25 degrees C for 5 min, and then stored at 25 degrees C for 70 days. The mild-heat treatment (e.g., 37 degrees C for 240min or 50 degrees C for 10min) inhibited the recovery of L. monocytogenes in milk after HPP. No recovery of L. monocytogenes in milk was observed during 70-day storage at 25 degrees C in samples that received mild-heat treatments such as mentioned above following HPP (550 MPa for 5 min). Moreover, the mild-heat treatment conditions (temperature and holding time) required to inhibit the recovery of L. monocytogenes in milk was modelled using a logistic regression procedure. The predicted interface of recovery/no recovery can be used to calculate the mild-heat treatment condition to control bacterial recovery during storage at 25 degrees C after HPP (550 MPa for 5 min). The results in this study would contribute to enhance the safety of high-pressure-processed milk. (C) 2007 Elsevier Ltd. All rights reserved.
• 食品微生物挙動データベースの開発

  小関 成樹

  農業機械学会誌 The Japanese Society of Agricultural Machinery and Food Engineers 70 (Supplement) 453 - 454 0285-2543 2008
• オゾン水を用いた野菜の養液栽培施設の衛生管理

  小関 成樹, 津田 升子, 五十部 誠一郎

  農業機械学会誌 The Japanese Society of Agricultural Machinery and Food Engineers 70 445 - 446 0285-2543 2008
• Predictive modelling of the recovery of Listeria monocytogenes on sliced cooked ham after high pressure processing

  Shigenobu Koseki, Yasuko Mizuno, Kazutaka Yamamoto

  INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY 119 (3) 300 - 307 0168-1605 2007/11 [Refereed][Not invited]
   

  This study examined bacterial recovery on sliced cooked ham that was inoculated with Listeria monocytogenes, treated by high pressure processing (HPP) and then stored at 10 degrees C for 70 days. The number of L. monocytogenes on the ham inoculated with 5 log(10) CFU/g was initially reduced by HPP at 500 MPa for 10 min to below the detectable level (10 CFU/g). However, the bacterial count gradually increased during storage, and exceeded the initial inoculum level at the end of the 70-day period, having risen by 7-8 log(10) CFU/g. A novel predictive model was therefore developed to estimate the recovery of L. monocytogenes during storage after HPP. Recovery of L. monocytogenes was defined as the detection of > 10(2) CFU/g bacteria, in view of the relevant food safety objectives of L. monocytogenes. At each 14-day sampling session, the ham was scored as either 1 or 0 indicating bacterial recovery or no bacterial recovery, respectively. The data were then subjected to a simple linear logistic regression model, which provided a good fit as indicated by the performance statistics. Using this model, we estimated the minimum HPP conditions necessary for the required storage periods. Additionally, as the developed model was based on logistic regression, the probability of the recovery of L. monocytogenes during storage after HPP was estimated. Our model not only calculated the appropriate shelf life and process conditions, but also provided a method for evaluating the risk of the recovery of pathogenic bacteria during storage. (C) 2007 Elsevier B.V All rights reserved.
• Microbial control of fresh produce using electrolyzed water

  Shigenobu Koseki, Seiichiro Isobe

  JARQ-JAPAN AGRICULTURAL RESEARCH QUARTERLY 41 (4) 273 - 282 0021-3551 2007/10 [Refereed][Not invited]
   

  The demand for fresh salad vegetables, such as iceberg lettuce, has increased worldwide in recent years. Numerous sanitizers have been examined for their effectiveness in killing or removing pathogenic bacteria on fresh produce. However, most of the sanitizers are made from the dilution of condensed solutions which involves some risk in handling and is troublesome. A sanitizer that is not produced from the dilution of a hazardous condensed solution is required for practical use. Electrolyzed water and ozonated water were investigated for bactericidal effects on fresh-cut produce as a convenient and safe alternative sanitizer. Although the efficacy of acidic electrolyzed water (AcEW) as a sanitizing agent was dependent on the kind of produce treated, AcEW could be sufficiently effective to offer an alternative solution to conventional sanitizers, such as sodium hypochlorite solution (150 ppm). A novel produce-washing procedure using a combination of alkaline electrolyzed water (AlEW), AcEW and mild heat demonstrated significant bactericidal effect compared with the treatment with ambient temperature. Besides the bactericidal effect, the progress of browning on lettuce was suppressed by using mild heat treatment. Furthermore, as a novel usage of AcEW, we examined the use of AcEW-ice for preserving vegetables. AcEW-ice inactivated the spoilage and pathogenic bacteria on lettuce and reduced the temperature of lettuce during storage.
• Modelling the bacterial survival/death interface induced by high pressure processing

  Shigenobu Koseki, Kazutaka Yamamoto

  INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY 116 (1) 136 - 143 0168-1605 2007/05 [Refereed][Not invited]
   

  The survival/death interface model was developed for prediction of inactivation of Listeria monocytogenes by high pressure processing (HPP). The model was derived from data sets comprising 360 combinations of environmental factors such as pressure (200, 300 400, and 500 MPa), pressure-holding time (1, 3, 5, 10, 20, 30 min), pH (3, 4, 5, 6, 7), and inoculum level (3, 5, 7 log(10) CFU/ml). The determination of survival/death of L. monocytogenes after HPP was confirmed by the presence/absence of colony forming ability on non-selective agar plates after 30 days of incubation at 20 degrees C in broth to take into account recovery of HPP-induced injured cells. The developed linear logistic model with time logarithmically transformed gave a degree of agreement between probabilities predicted by the fitted model and all observations as 99.3% concordant. The model provided a good fit to the data as shown by performance statistics. The developed interface model in the present study provided requisite process conditions for the target effect of HPP on L. monocytogenes. In addition to using the simple linear logistic model, a polynomial logistic model was also fitted to the data where pressure-holding time was not logarithmically transformed. That model did not produce a better fit to the data and resulted in some potentially misleading predictions. Optimization of HPP could be accomplished using the model developed in this study. Furthermore, choice in processing factors allows for processing flexibility in HPP and specifies the process criteria that are incorporated into the HACCP plan. (c) 2007 Elsevier B.V. All rights reserved.
• A novel approach to predicting microbial inactivation kinetics during high pressure processing

  Shigenobu Koseki, Kazutaka Yamamoto

  INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY 116 (2) 275 - 282 0168-1605 2007/05 [Refereed][Not invited]
   

  The inactivation kinetics of Escherichia coli (ATCC 25922) during high pressure processing (HPP) was examined from 200 to 400 MPa in 50 MPa increments at 15 degrees C. Although the time course of HPP-induced E. coli inactivation in 0.1% peptone water successfully fitted the Weibull function, this procedure involved curve fitting, and not prediction. The objective of this study was to develop a novel HPP-induced microbial inactivation model to simulate the inactivation kinetics under various pressure conditions. The maximum inactivation rate during HPP was calculated from the inactivation curves at different pressure conditions on a semi-log plot. The relationship between the square root of the absolute value of the inactivation rate (root k(max)) and treatment pressure was linear (R-2=0.99). The linear relationship between root k(max) and treatment pressure also successfully described independent data from other studies in the literature. Overall, the newly developed differential equation model, into which was substituted the square root function of the inactivation rate, was capable of simulating the inactivation kinetics during HPP at constant pressure. Additionally, the model could successfully describe the inactivation kinetics during HPP using other researchers' data. The accuracy of prediction of the new model was comparable to that derived from Weibull or modified Gompertz fitting to the observed data. Furthermore, the new model could successfully simulate the inactivation kinetics during dynamic pressure conditions, which included come-up time, changes in holding pressure during treatment, and pressure-release time. Moreover, the effect of pulsed pressure treatment was also simulated successfully using this model. Therefore, the modeling procedure presented in this study will contribute to the advancement of predictive modeling for HPP-induced microbial inactivation. (c) 2007 Elsevier B.V All rights reserved.
• Water activity of bacterial suspension media unable to account for the baroprotective effect of solute concentration on the inactivation of Listeria monocytogenes by high hydrostatic pressure

  Shigenobu Koseki, Kazutaka Yamamoto

  INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY 115 (1) 43 - 47 0168-1605 2007/04 [Refereed][Not invited]
   

  Inactivation of Listeria monocytogenes (108 CFU/ml) by high hydrostatic pressure (HHP) from 400 to 600 MPa at 25 degrees C for 10 min was investigated with various concentrations of sodium chloride, sucrose, and sodium phosphate buffer solutions. Sodium chloride significantly inhibited HHP-induced inactivation of L. monocytogenes at concentrations higher than 2.6 M. A low concentration of sodium chloride within 1.7 M had no effect on HHP-induced inactivation. Almost complete inactivation at relatively low sodium chloride concentration solution was observed with treatments above 500 MPa. Sucrose also significantly inhibited HHP-induced inactivation of L. monocytogenes when greater than 1.2 M sucrose solutions were used. HHP-treatment at 400 MPa reduced the number of L. monocytogenes in 1.2 M, 1.5 M, and 1.8 M sucrose solutions by 4.8, 2.0, and 0.7 log cycles, respectively. Higher pressure, did not yield significant reductions. Sodium phosphate buffer significantly inhibited HHP-induced inactivation of L. monocytogenes . In particular, 1 M phosphate buffer completely inhibited HHP-induced inactivation even at 600 MPa. HHP-treatment at 400 MPa reduced the number of L. monocytogenes in 0.1 M, 0.25 M, and 0.5 M phosphate buffer solutions by 5.6, 4.1, and 3.2 log cycles, respectively. The effect of HHP-induced inactivation of L. monocytogenes in the three kinds of solution was evaluated by adjusting water activity (a(w)). However, the baroprotective effect differed depending on the kind of solute even at the same a(w). This result showed no consistent correlation between a, and solute concentration in terms of the baroprotective effect. As an alternative approach, saturation of suspension solution was used for evaluating the effect of HHP-induced inactivation of L. monocytogenes. As the saturation of suspension media increased, the effect of HHP-induced inactivation of L. monocytogenes decreased regardless of the kinds of solute. The saturation of solution would be an alternative parameter of inhibition in terms of HHP-induced inactivation of bacteria. (c) 2006 Elsevier B.V. All rights reserved.
• pH and solute concentration of suspension media affect the outcome of high hydrostatic pressure treatment of Listeria monocytogenes

  Shigenobu Koseki, Kazutaka Yamamoto

  INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY 111 (2) 175 - 179 0168-1605 2006/09 [Refereed][Not invited]
   

  The effect of pH and solute concentration of suspension media on high hydrostatic pressure (HHP) induced inactivation of Listeria monocytogenes (approximate 10(8) CFU/ml) was investigated by the using treatment between 300 MPa and 600 MPa at 25 degrees C for 10 min. The suspension media used in this study represented different concentrations (0.1% to 10%) of buffered peptone water (BPW) with an adjusted pH of 4 to 7. An increase in the concentration of BPW resulted in a decreased HHP-induced inactivation of L. monocytogenes that was dependent on the pH of the medium. HHP-treatment at 300 MPa showed no bactericidal effect at neutral pH regardless of the BPW concentration. When the pH of BPW (0.1% to 5%) was reduced to 4, L. monocytogenes was completely inactivated (more than an 8 log cycle reduction) with a HHP-treatment of at least 3 00 MPa. HHP-treatment above 400 MPa completely inactivated L. monocytogenes in a relatively dilute BPW (0.1 % and 1%) with an adjusted pH below 6. While only a 2 log cycle reduction was observed in 10% BPW at the pH ranging from 5 to 7 after treatment with 600 MPa, L. monocytogenes in 10% BPW at pH 4 was completely inactivated. Even though a significant bactericidal effect of HHP-treatment was not observed when applied with a low pressure such as 300 MPa or suspended in higher BPW at neutral pH, a reduction of the pH greatly affected the HHP-induced inactivation of L. monocytogenes. These results indicated that information concerning the pH of food or media would greatly assist an optimization of HHP-treatment for the inactivation of bacteria. (c) 2006 Elsevier B.V. All rights reserved.
• Recovery of Escherichia coli ATCC 25922 in phosphate buffered saline after treatment with high hydrostatic pressure

  Shigenobu Koseki, Kazutaka Yamamoto

  INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY 110 (1) 108 - 111 0168-1605 2006/07 [Refereed][Not invited]
   

  Escherichia coli ATCC 25922 in phosphate buffered saline solution (PBS, pH 7.1, 108 CFU/ml) was inactivated by high hydrostatic pressure (HHP, 400 to 600 MPa) treatment at 25 degrees C for 10 min. Colonies of E. coli were not detected on non-selective plate count agar immediately after a HHP-treatment of at least 550 MPa. E. coli subjected to at least 500 MPa in PBS were incubated at 4, 25, and 37 degrees C for 120 h. No colonies were detected on plate count agar throughout the 120-h incubation period at 4 or 37 degrees C. In contrast, the number of E coli during storage at 25 degrees C increased from an undetectable level (< 1 CFU/ml) to the level of initial cell counts regardless of the treatment pressure level. The recovery in PBS required a maximum time of 48 h, while the period during which cell numbers remained at an undetectable level increased from 24 to 72 h as the treatment pressure increased. E. coli treated at 550 and 600 MPa in PBS were inoculated into trypticase soy broth (TSB) and stored at 4, 25, and 37 degrees C for 120 h. No recovery was recorded in TSB during the 120-h storage at 37 degrees C. In contrast, the number of E.coli during storage at 25 degrees C in TSB increased beyond the level of initial cell counts regardless of the treatment pressure level. The recovery of cell numbers observed in TSB was faster than that in PBS samples, as bacterial growth in TSB assisted faster recovery. When the incubation temperature in PBS was shifted to 25 degrees C after 120-h at 4 or 37 degrees C, recovery of E. coli was observed in samples shifted from 4 to 25 degrees C regardless of the treatment pressure. However, the time during which cell numbers remained at an undetectable level was extended by increasing the level of treatment pressure, and recovery required a maximum time of 48 h. On the other hand, no recovery was observed with HHP-treated E. coli subjected to an incubation temperature shift from 37 to 25 degrees C. This study indicates that an appropriate incubation temperature after HHP-treatment is needed to optimize the recovery of HHP-injured bacteria and thus prevent overestimation of the lethal effect of HHP-treatment. (c) 2006 Elsevier B.V. All rights reserved.
• Blanching of potato with superheated steam containing micro-droplets of hot water

  Itaru Sotome, Keitaro Suzuki, Shigenobu Koseki, Kuniko Sakamoto, Makiko Takenaka, Yukio Ogasawara, Yoshitaka Nadachi, Seiichiro Isobe

  JOURNAL OF THE JAPANESE SOCIETY FOR FOOD SCIENCE AND TECHNOLOGY-NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI Japanese Society for Food Science and Technology 53 (9) 451 - 458 1341-027X 2006 [Refereed][Not invited]
   

  A newly developed oven system, which generates superheated steam consisting of micro-droplets of hot water (Aqua-gas) by spraying heated water into a heating chamber, was applied to the blanching of potato. It was thought that the micro-droplets would increase the heat transfer coefficient of the heating medium to the extent that they would prevent the deterioration of foods due to drying during the heating process. Blanching of the potatoes was conducted using Aqua-gas (115 degrees C), superheated steam (115 degrees C) and hot water (100 degrees C). The thermal properties of the heating mediums and the qualities of the potato processed with the heating mediums were compared. Though a greater heat transfer coefficient was measured in the Aqua-gas, no significant differences were observed in temperature distributions or the progress of peroxidase inactivation among the heating media. Heat transfer simulations showed that the temperature distribution in the potatoes was only dependent upon thermal diffusivity of the potato since the heat transfer coefficients of the heating mediums were sufficient. The potatoes processed with the Aqua-gas and with the superheated steam were firmer and brighter than the potatoes processed with the hot water. In addition, weight loss of the potatoes was reduced and any Bacillus subtilis would have been sterilized by the Aqua-gas.
• Effect of ozonated water treatment on microbial control and on browning of iceberg lettuce (Lactuca sativa L.)

  S Koseki, S Isobe

  JOURNAL OF FOOD PROTECTION 69 (1) 154 - 160 0362-028X 2006/01 [Refereed][Not invited]
   

  We examined the effect of ozonated water treatment on microbial control and quality of cut iceberg lettuce (Lactuca sativa L.). Fresh-cut lettuce was washed in ozonated water (3, 5, and 10 ppm) for 5 min at ambient temperature. The native bacterial population on the lettuce declined in response to a rise in ozone concentration. However, there was no further bacterial reduction (1.4 log CFU/g) above 5 ppm ozone. Although ozonated water treatment increased the phenylalanine ammonia lyase (PAL) activity of the lettuce stored at 10 degrees C compared with the water wash treatment after 1 day of storage, the concentration of ozone did not affect PAL activity. The a* value of the residue of the lettuce methanol extracts, which reflects the extent of browning, increased dramatically in lettuce treated with 10 ppm ozonated water compared with other treatments. Treatment with 3 or 5 ppm ozonated water resulted in more rapid changes in the a* value than after the water treatment. The combined treatment of hot water (50 degrees C, 2.5 min) followed by ozonated water (5 ppm, 2.5 min) had the same bactericidal effect as treatment with ozonated water (5 ppm, 5 min) or sodium hypochlorite (NaOCI, 200 ppm, 5 min), giving a reduction in bacteria numbers of 1.2 to 1.4 log CFU/g. The ascorbic acid content of the lettuce was not affected by these treatments. The combined treatment of hot water followed by ozonated water greatly inhibited PAL activity for up to 3 days of storage at 10 degrees C. Treatment with this combination greatly suppressed increases in the a* value. thus retarding the progress of browning compared with other treatments throughout the 6-day storage. NaOCI treatment also inhibited browning for up to 3 days of storage. Bacterial populations on the lettuce treated with sanitizers were initially reduced but then showed rapid growth compared with that of the water wash treatment, which did not reduce bacterial counts initially.
• Prediction of pathogen growth on iceberg lettuce under real temperature history during distribution from farm to table

  S Koseki, S Isobe

  INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY 104 (3) 239 - 248 0168-1605 2005/10 [Refereed][Not invited]
   

  The growth of pathogenic bacteria Escherichia coli O157:H7, Salmonella spp., and Listeria monocytogenes on iceberg lettuce under constant and fluctuating temperatures was modelled in order to estimate the microbial safety of this vegetable during distribution from the farm to the table. Firstly, we examined pathogen growth on lettuce at constant temperatures, ranging from 5 to 25 degrees C, and then we obtained the growth kinetic parameters (lag time, maximum growth rate (mu max), and maximum population density (MPD)) using the Baranyi primary growth model. The parameters were similar to those predicted by the pathogen modelling program (PMP), with the exception of MPD. The MPD of each pathogen on lettuce was 2-4 log(10) CFU/g lower than that predicted by PMP. Furthermore, the MPD of pathogens decreased with decreasing temperature. The relationship between root mu(max). and temperature was linear in accordance with Ratkowsky secondary model as was the relationship between the MPD and temperature. Predictions of pathogen growth under fluctuating temperature used the Baranyi primary microbial growth model along with the Ratkowsky secondary model and MPD equation. The fluctuating temperature profile used in this study was the real temperature history measured during distribution from the field at harvesting to the retail store. Overall predictions for each pathogen agreed well with observed viable counts in most cases. The bias and root mean square error (RMSE) of the prediction were small. The prediction in which mu(max) was based on PMP showed a trend of overestimation relative to prediction based on lettuce. However, the prediction concerning E. coli O157:H7 and Salmonella spp. on lettuce greatly overestimated growth in the case of a temperature history starting relatively high, such as 25 degrees C for 5 h. In contrast, the overall prediction of L. monocytogenes under the same circumstances agreed with the observed data. (c) 2005 Elsevier B.V. All rights reserved.
• Growth of Listeria monocytogenes on iceberg lettuce and solid media

  S Koseki, S Isobe

  INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY 101 (2) 217 - 225 0168-1605 2005/05 [Refereed][Not invited]
   

  The growth of pathogenic bacterium Listeria monocytogenes on fresh-cut iceberg lettuce under constant temperatures was modelled in order to investigate microbial safety during distribution of this vegetable. We examined the effects of several incubation temperatures, ranging from 5 to 25 degrees C, on bacterial growth. These data were fitted to the Baranyi model and the curves showed a high correlation coefficient at all temperature (R-2> 0. 95). In addition, the native bacterial flora of the lettuce did not affect the growth rate of.L monocylogenes regardless of incubation temperature. However, the lag time was reduced at a ratio of native bacteria to inoculated L. nionocytogenes (100: 1) at low incubation temperatures (5 and 10 degrees C). Furthermore, the maximum population density (MPD) was increased at a low ratio of native to inoculated L. monocytogenes (1: 1) at all incubation temperatures. These results were compared with the previous work published by Buchanan et al. (1989) [Buchanan, R.L., Stahl, H.G., Whiting, R.C., 1989. Effects and interactions of temperature, pfl, atmosphere, sodium chloride, and sodium nitrite on the growth of Listeria monocytogenes. J. Food Prot. 52, 844-85 1] that is being developed at the US Department of Agriculture (USDA) Agricultural Research Service's Pathogen Modelling Program (PMP). The broth-based Buchanan model for L. monocytogenes was found to markedly deviate from the observed data. In order to investigate this discrepancy, we examined the effects of medium environment and nutrient content on L. monocytogenes growth using tryptic soy agar plates (TSAP) and agar plates (AP) containing 1.7% sucrose. The inoculated bacteria on both TSAP and AP showed slower growth rates than that predicted by thc PMP. The MPD of bacteria grown on TSAP was similar to the PMP model (similar to 9 og(10) CFU/ml or plate (circle of diameter of 90 mm)) regardless of the incubation temperature. By contrast, the MPD observed on AP was similar to 4 log(10) CFU lower than that observed on TSAP or predicted by the PMP. Both the growth rate and the MPD of L. monocytogenes on AP were similar to those on lettuce. These results suggest that the solid medium and poor nutrient content inhibited the growth of L. monocytogenes on lettuce. The growth rates of the inoculated L. monocytogenes on all media were described using Ratkowsky's simple square root model. (c) 2005 Elsevier B.V. All rights reserved.
• Enhancement of sterilization effect on pre-cut vegetable using electrolyzed water Part I Decontamination of pre-cut green onion using electrolyzed water and observations of its surface by confocal scanning laser microscope

  K Yoshida, N Achiwa, M Katayose, Y Kizawa, S Koseki, S Isobe, K Abe

  JOURNAL OF THE JAPANESE SOCIETY FOR FOOD SCIENCE AND TECHNOLOGY-NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI Japanese Society for Food Science and Technology 52 (6) 266 - 272 1341-027X 2005 [Refereed][Not invited]
   

  Foodborne diseases caused by microorganisms occur with numerous incidents and patients every year. It is believed that most of the incidents are caused by cross-contamination of microbes at the stage of food processing. In this research, we studied about microorganism control by using electrolyzed water for pre-cut vegetable. We carried out studies as follows; observation of microorganism's behavior on food surface with confocal scanning laser microscope, consideration of decontamination effect by using alkaline electrolyzed water, and utilization of treatment temperature variation. Difference in diminution of available chlorine concentration was found depending on treatment part of green onion. On grounds of available chlorine concentration, volume of treatment water, decontamination effect, and simplified operation, it could be concluded that soaking for 2 minutes in acidic electrolyzed water was the optimum condition in this case. Decontamination on green onion using alkaline electrolyzed water as pre-cleaning was also found useful. According to the result of confocal microscopy of lettuce surface, it was revealed that numerous microbes existed in parts with structural change such as stomas and bounds of plant cells. Therefore, it was considered that no significant sterilization effect was accomplished because it was difficult to expose microbes to electrolyzed water. Similarly, numerous microorganisms were observed in parts of green onion with irregular surfaces. We also found that the clump of microbes had thickness and penetrated into cells of green onion in some depth. It was considered that it is difficult to achieve sterilization effect against microbes existing in inaccessible parts, such as stomas and damaged cells.
• Enhancement of sterilization effect on pre-cut vegetable using electrolyzed water Part II Effects of electrolyzed water treatment on pre-cut green onion at pre-cut vegetables processing plant and its influences to quality of pre-cut green onion

  K Yoshida, N Achiwa, M Katayose, S Koseki, S Isobe, K Abe

  JOURNAL OF THE JAPANESE SOCIETY FOR FOOD SCIENCE AND TECHNOLOGY-NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI 52 (6) 273 - 277 1341-027X 2005 [Refereed][Not invited]
   

  Most cases of microbial food contamination may be caused by cross-contamination at food processing stage. In this study, application of electrolyzed water for pre-cut vegetables was examined for bacterial control at their processing stage. The authors previously reported basic research on enhanced bactericidal effect by electrolyzed water on pre-cut vegetables. Based on the previous report, this study aimed for advanced experiment considering actual field applications and for examination of the resulting effects. In addition to microbial food contamination, chemical contamination was also studied. The rinsing effect of electrolyzed water was examined for the put-pose of reducing residual pesticide used for cultivation. To establish an effectual washing process in actual applications, a washing tank was installed in a pre-cut vegetable processing plant, and routine bacterial counting was performed. As the result of preservation study on the green onion treated in the washing tank, 5 degrees C storage was more effective than room temperature or 20 degrees C storage in controlling bacterial growth. Before the washing tank was installed, bacteria attached to green onion varied to some degree but counted 10(5)-10(6)CFU/g for total bacteria and 10(1)-10(5) CFU/g for total coliforms. The washing tank treatment successfully reduced the bacterial count to 10(4)-10(6)CFU/g for total bacteria and negative- 10(4)CFU/g for total coliforms. A commercial pesticide was used to determine the effect of electrolyzed water in rinsing residual pesticide. Mixture with acidic electrolyzed water resulted in reducing detection of an organic phosphorus pesticide Phenthoate (TM). in a model experiment, a combined treatment with hot alkaline electrolyzed water and cold acidic electrolyzed water was most effective. The results suggested that electrolyzed water might be effective in rinsing residual pesticide.
• Efficacy of acidic electrolyzed water ice for pathogen control on lettuce

  S Koseki, S Isobe, K Itoh

  JOURNAL OF FOOD PROTECTION 67 (11) 2544 - 2549 0362-028X 2004/11 [Refereed][Not invited]
   

  Acidic electrolyzed water (AcEW) was used as frozen AcEW (AcEW-ice) for inactivation of Listeria monocytogenes and Escherichia coli O157:H7 on lettuce. AcEW-ice was prepared from AcEW with 20,50, 100, and 200 ppm of available chlorine by freezing at -40degreesC and generated 30, 70, 150, and 240 ppm of chlorine gas (CIA respectively. The AcEW-ice was placed into styrene-foam containers with lettuce samples at 20degreesC for 24 h. Although AcEW-ice generating 30 ppm Cl(2) had no effect on L. monocytogenes cell counts, AcEW-ice generating 70 to 240 ppm of Cl(2) significantly (P < 0.05) reduced L. monocytogenes by ca. 1.5 log CFU/g. E coli O157:H7 cell counts were reduced by 1.0 log CFU/g with AcEW-ice generating 30 ppm of Cl(2). ACEW-ice generating 70 and 150 PPM of Cl(2) reduced E. coli O157:H7 by 2.0 log CFU/g. Further significant reduction of E. coli O157:H7 (2.5 log CFU/g) was demonstrated by treatment with AcEW-ice generating 240 PPM Of Cl(2). However, treatment with ACEW-ice generating 240 pprn of Cl(2) resulted in a physiological disorder resembling leaf burn. AcEW-ice that generated less than 150 PPM Of Cl(2) had no effect on the surface color of the lettuce. AcEW-ice, regardless of the concentration of the emission of Cl(2), had no effect on the ascorbic acid content in the lettuce. The weight ratio of lettuce to AcEW-ice required was determined to be over 1:10. The bactericidal effect of AcEW-ice appeared within the first 2 h. The use of AcEW-ice provides simultaneously for low temperature storage and inactivation of bacteria.
• Effect of mild heat pre-treatment with alkaline electrolyzed water on the efficacy of acidic electrolyzed water against Escherichia coli O157 : H7 and Salmonella on lettuce

  S Koseki, K Yoshida, Y Kamitani, S Isobe, K Itoh

  FOOD MICROBIOLOGY 21 (5) 559 - 566 0740-0020 2004/10 [Refereed][Not invited]
   

  Cut lettuce dip-inoculated with Escherichia coli O157:H7 and Salmonella was treated with alkaline electrolyzed water (AIEW) at 20degreesC for 5 min, and subsequently washed with acidic electrolyzed water (AcEW) at 20degreesC for 5 min. Pre-treatment with AIEW resulted in an approximate 1.8 log(10) cfu/g reduction of microbial populations, which was significantly (p less than or equal to 0.05) greater than microbial reductions resulting from other pre-treatment solutions, including distilled water and AcEW. Repeated AcEW treatment did not show a significant bacterial reduction. Mildly heated (50degreesC) sanitizers were compared with normal (20degreesC) or chilled (4degreesC) sanitizers for their bactericidal effect. Mildly heated AcEW and chlorinated water (200 ppm free available chlorine) with a treatment period of 1 or 5 min produced equal reductions of pathogenic bacteria of 3 log(10) and 4 log(10) cfu/g, respectively. The procedure of treating with mildly heated AIEW for 5 min, and subsequent washing with chilled (4degreesC) AcEW for period of 1 or 5 min resulted in 3-4 log(10) cfu/g reductions of both the pathogenic bacterial counts on lettuce. Extending the mild heat pre-treatment time increased the bactericidal effect more than that observed from the subsequent washing time with chilled AcEW. The appearance of the mildly heated lettuce was not deteriorated after the treatment. In this study, we have illustrated the efficacious application of AIEW as a pre-wash agent. and the effective combined use of AIEW and AcEW. (C) 2003 Elsevier Ltd. All rights reserved.
• Efficacy of acidic electrolyzed water for microbial decontamination of cucumbers and strawberries

  S Koseki, K Yoshida, S Isobe, K Itoh

  JOURNAL OF FOOD PROTECTION 67 (6) 1247 - 1251 0362-028X 2004/06 [Refereed][Not invited]
   

  An examination was made of the efficacy of acidic electrolyzed water (AcEW, 30 ppm free available chlorine), ozonated water (5 ppm ozone), and a sodium hypochlorite solution (NaOCl, 150 ppm free available chlorine) for use as potential sanitizers of cucumbers and strawberries. AcEW and NaOCl reduced the aerobic mesophiles naturally present on cucumbers within 10 min by 1.4 and 1.2 log CFU per cucumber, respectively. The reduction by ozonated water (0.7 log CFU per cucumber) was significantly less than that of AcEW or NaOCl (P less than or equal to 0.05). Cucumbers washed in alkaline electrolyzed water for 5 min and then treated with AcEW for 5 min showed a reduction in aerobic mesophiles that was at least 2 log CFU per cucumber greater than that of other treatments (P less than or equal to 0.05). This treatment was also effective in reducing levels of coliform bacteria and fungi associated with cucumbers. All treatments offered greater microbial reduction on the cucumber surface than in the cucumber homogenate. Aerobic mesophiles associated with strawberries were reduced by less than 1 log CFU per strawberry after each treatment. Coliform bacteria and fungi associated with strawberries were reduced by 1.0 to 1.5 log CFU per strawberry after each treatment. Microbial reduction was approximately 0.5 log CFU per strawberry greater on the strawberry surface than in the strawberry homogenate. However, neither treatment was able to completely inactivate or remove the microorganisms from the surface of the cucumber or strawberry.
• Influence of inoculation method, spot inoculation site, and inoculation size on the efficacy of acidic electrolyzed water against pathogens on lettuce

  S Koseki, K Yoshida, Y Kamitani, K Itoh

  JOURNAL OF FOOD PROTECTION 66 (11) 2010 - 2016 0362-028X 2003/11 [Refereed][Not invited]
   

  The influence of bacterial inoculation methods on the efficacy of sanitizers against pathogens was examined. Dip and spot inoculation methods were employed in this study to evaluate the effectiveness of acidic electrolyzed water (AcEW) and chlorinated water (200 ppm free available chlorine) against Escherichia coli O157:H7 and Salmonella spp. Ten pieces of lettuce leaf (5 by 5 cm) were inoculated by each method then immersed in 1.5 liters of AcEW, chlorinated water, or sterile distilled water for 1 min with agitation (150 rpm) at room temperature. The outer (abaxial) and inner (adaxial) surfaces of the lettuce leaf were distinguished in the spot inoculation. Initial inoculated pathogen population was in the range 7.3 to 7.8 log CFU/g. Treatment with AcEW and chlorinated water resulted in a 1 log CFU/g or less reduction of E. coli O157:H7 and Salmonella populations inoculated with the dip method. Spot inoculation of the inner surface of the lettuce leaf with AcEW and chlorinated water reduced the number of E. coli O157:H7 and Salmonella by approximately 2.7 and 2.5 log CFU/g, respectively. Spot inoculation of the outer surface of the lettuce leaf with both sanitizers resulted in approximately 4.6 and 4.4 log CFU/g reductions of E. coli O157:H7 and Salmonella, respectively. The influence of inoculation population size was also examined. Each sanitizer could not completely eliminate the pathogens when E. coli O157:H7 and Salmonella cells inoculated on the lettuce were of low population size (10(3) to 10(4) CFU/g), regardless of the inoculation technique.
• Effect of nitrogen gas packaging on the quality and microbial growth of fresh-cut vegetables under low temperatures

  S Koseki, K Itoh

  JOURNAL OF FOOD PROTECTION 65 (2) 326 - 332 0362-028X 2002/02 [Refereed][Not invited]
   

  Nitrogen (N-2) gas packaging for fresh-cut vegetables (lettuce and cabbage) has been examined as a means of modified atmosphere packaging (MAP) for extending the shelf life of cut vegetables. Gas composition in enclosed packages that contained cut vegetables and were filled with 100% N-2 had an oxygen (O-2) concentration of 1.2 to 5.0% and a carbon dioxide (CO2) concentration of 0.5 to 3.5% after 5 days of storage. An atmosphere of low concentrations of O-2 and high CO2 conditions occurred naturally in the package filled with N-2 gas. Degradation of cut vegetables in terms of appearance was delayed by N-2 gas packaging. Because of this effect, the appearance of fresh-cut vegetables packaged with N-2 gas remained acceptable at temperatures below 5degreesC after 5 days. Treatment with acidic electrolyzed water (AcEW) contributed to the acceptability of the vegetables' appearance at 5 and 10degreesC in the air-packaging system. N-2 gas packaging did not significantly affect the growth of microbial populations (total aerobic bacteria, coliform. bacteria, Bacillus cereus, and psychrotrophic bacteria) in or on cut vegetables at 1, 5, and 10degreesC for 5 days. Microbial growth in or on the cut vegetables was inhibited at 1degreesC for 5 days regardless of atmospheric conditions.
• Decontaminative effect of frozen acidic electrolyzed water on lettuce

  S Koseki, K Fujiwara, K Itoh

  JOURNAL OF FOOD PROTECTION 65 (2) 411 - 414 0362-028X 2002/02 [Refereed][Not invited]
   

  We investigated the effects of frozen acidic electrolyzed water (AcEW) on lettuce during storage in a styrene-foam container. The lettuce was kept at 2 to 3degreesC for 24 h. Populations of aerobic bacteria associated with lettuce packed in frozen AcEW were reduced by 1.5 log CFU/g after storage for 24 h. With frozen tap water, no microorganism populations tested in this study were reduced. A frozen mixture of AcEW and alkaline electrolyzed water (A1EW) also failed to reduce populations of microorganisms associated with lettuce. Although chlorine gas was produced by frozen AcEW, it was not produced by the AcEW-A1EW mixture. This result indicates that the main factor in the decontandnative effect of frozen AcEW was the production of chlorine gas. Accordingly, low-temperature storage and decontamination could be achieved simultaneously with frozen AcEW during distribution.
• Prediction of microbial growths in fresh-cut vegetables treated with acidic electrolyzed water during storage under various temperature conditions

  S Koseki, K Itoh

  JOURNAL OF FOOD PROTECTION 64 (12) 1935 - 1942 0362-028X 2001/12 [Refereed][Not invited]
   

  Effects of storage temperature (1, 5, and 10 degreesC) on growth of microbial populations (total aerobic bacteria, coliform bacteria, Bacillus cereus, and psychrotrophic bacteria) on acidic electrolyzed water (AcEW)-treated fresh-cut lettuce and cabbage were determined. A modified Gompertz function was used to describe the kinetics of microbial growth. Growth data were analyzed using regression analysis to generate "best-fit" modified Gompertz equations, which were subsequently used to calculate lag time, exponential growth rate, and generation time. The data indicated that the growth kinetics of each bacterium were dependent on storage temperature, except at 1 degreesC storage. At 1 degreesC storage, no increases were observed in bacterial populations. Treatment of vegetables with AcEW produced a decrease in initial microbial populations. However, subsequent growth rates were higher than on nontreated vegetables. The recovery time required by the reduced microbial population to reach the initial (treated with tap water [TW]) population was also determined in this study, with the recovery time of the microbial population at 10 degreesC being <3 days. The benefits of reducing the initial microbial populations on fresh-cut vegetables were greatly affected by storage temperature. Results from this study could be used to predict microbial quality of fresh-cut lettuce and cabbage throughout their distribution.
• Decontamination of lettuce using acidic electrolyzed water

  S Koseki, K Yoshida, S Isobe, K Itoh

  JOURNAL OF FOOD PROTECTION 64 (5) 652 - 658 0362-028X 2001/05 [Refereed][Not invited]
   

  The disinfectant effect of acidic electrolyzed water (AcEW), ozonated water, and sodium hypochlorite (NaOCl) solution on lettuce was examined. AcEW (pH 2.6; oxidation reduction potential, 1140 mV; 30 ppm of available chlorine) and NaOCl solution (150 ppm of available chlorine) reduced viable aerobes in lettuce by 2 log CFU/g within 10 min. For lettuce washed in alkaline electrolyzed water (AlEW) for 1 min and then disinfected in AcEW for 1 min, viable aerobes were reduced by 2 log CFU/g. On the other hand, ozonated water containing 5 ppm of ozone reduced viable aerobes in lettuce 1.5 log CFU/g within 10 min. It was discovered that AcEW showed a higher disinfectant effect than did ozonated water significantly at P < 0.05. It was confirmed by swabbing test that AcEW, ozonated water, and NaOCl solution removed aerobic bacteria, coliform bacteria, molds, and yeasts on the surface of lettuce. Therefore, residual microorganisms after the decontamination of lettuce were either in the inside of the cellular tissue, such as the stomata, or making biofilm on the surface of lettuce. Biofilms were observed by a scanning electron microscope on the surface of the lettuce treated with AcEW. Moreover, it was shown that the spores of bacteria on the surface were not removed by any treatment in this study. However, it was also observed that the surface structure of lettuce was nor damaged by any treatment in this study. Thus, the use of AcEW for decontamination of fresh lettuce was suggested to be an effective means of controlling microorganisms.
• The effect of acidic electrolyzed water on the quality of cut vegetables

  S Koseki, K Itoh

  JOURNAL OF THE JAPANESE SOCIETY FOR FOOD SCIENCE AND TECHNOLOGY-NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI 48 (5) 365 - 369 1341-027X 2001 [Refereed][Not invited]
   

  We examined the effect of acidic electrolyzed water (AcEW), NaOCl solution (150 ppm), and tap water on the quality of fresh cut vegetables. The vegetable quality tested in this study was the color tone of the appearance, the total chlorophyll content, the beta -carotene content, and the ascorbic acid content. The appearance of the cut or non-cut vegetable was not changed by the 10 min soaking in AcEW. The total chlorophyll content in the cut cabbage and the cut lettuce soaked in AcEW for 10 min was decreased by 10 -20%. The beta -carotene content in the carrot soaked in AcEW for 10 min was decreased by about 30%. However, the reaction mechanism of these decreasing of pigment content is not clear. On the other hand, the ascorbic acid content in the cut cabbage, cut lettuce and cut cucumber treated with AcEW for 10 min was decreased by 20%, 15% and 35%, respectively. These results were also shown in the treatment with NaOCl solution and tap water. Thus, the loss in quality of the cut vegetable treated with AcEW was equivalent with NaOCl and tap water. Therefore, it was found out that AcEW did not affect the quality of cut vegetables.
• Effect of acidic electrolyzed water on the microbial counts in shredded vegetables (Part III) - Effect of combined physical supplementary means on the washing and disinfections

  S Koseki, K Itoh

  JOURNAL OF THE JAPANESE SOCIETY FOR FOOD SCIENCE AND TECHNOLOGY-NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI 47 (12) 914 - 918 1341-027X 2000 [Refereed][Not invited]
   

  It has been shown that acidic electrolyzed water was effective in the surface disinfection of shredded vegetables. In the treatment shredded vegetables were simply soaked in acidic electrolyzed water so far. In this research, in the disinfection of shredded vegetables by acidic electrolyzed water, the effectiveness of physical supplementary means used together was examined, Combined use of the physical supplementary means and acidic electrolyzed water did not contribute to disinfection. However, the physical supplementary means was shown to be considerably effective when vegetables were washed with alkaline electrolyzed water by physical supplementary means and then disinfected in acidic electrolyzed water by the physical supplementary means. This effect: was remarkable on cucumbers, but little on lettuces and cabbages. Stirring was most effective among the supplementary means used. It was found out that five minutes each of washing and disinfecting was necessary for high disinfectant effect on cucumbers. Moreover, it was suggested that: the effect of stirring was more effective than that of pretreatment of alkaline electrolyzed water on cucumber disinfection.
• Effect of acidic electrolyzed water on the microbial counts in shredded vegetables (Part II) - Pretreatment effect of alkaline electrolyzed water

  S Koseki, K Itoh

  JOURNAL OF THE JAPANESE SOCIETY FOR FOOD SCIENCE AND TECHNOLOGY-NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI 47 (12) 907 - 913 1341-027X 2000 [Refereed][Not invited]
   

  Electrolysis of dilute sodium chloride solution produces alkaline electrolyzed water (AlEW) in the cathode side, simultaneously produces acidic electrolyzed water (AcEW) in the anode side. AlEW presents high pH (above 11) and extremely low ORP (below -800 mV). There has been no study attempting to use AlEW for washing shredded vegetables. Thus we examined the availability of AlEW as wash water before disinfecting shredded vegetables (cabbages, lettuces, and cucumbers) with AcEW. Washing shredded vegetables by AlEW for one minute before disinfecting with AcEW was more effective than only disinfecting with AcEW for five minutes. Equally good results were ascertained among three different vegetables. Moreover, the activity of AcEW thigh ORP and available chlorine concentration) was little declined when prewashing with any solutions (AlEW, 17 mM NaOH, and tap water) was applied before disinfecting Although this effect was induced by not only AlEW but also tap water and 17 mM NaOH, in view of the disinfectant effect, it is suggested that washing with AlEW before disinfecting would be suitable for shredded vegetables as an effective utilization of AlEW.
• Effect of acidic electrolyzed water on the microbial counts in shredded vegetables

  S Koseki, K Itoh

  JOURNAL OF THE JAPANESE SOCIETY FOR FOOD SCIENCE AND TECHNOLOGY-NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI 47 (9) 722 - 726 1341-027X 2000 [Refereed][Not invited]
   

  Acidic electrolyzed water (AcEW) is a new disinfectant prepared by electrolyzing dilute sodium chloride solutions. AcEW has a low pH (below 2.7), high oxidizing reduction potential (ORP above+ 1 100 mV) and available chlorine concentration (ACC, 40 similar to 50 ppm). We studied the disinfectant effect of AcEW on five kinds of shredded vegetables. The microbial counts in lettuces, cabbages, carrots and burdocks were reduced from 1:10 to 1/100 of the initial numbers within 10 minuets by soaking the vegetables in AcEW. However, 20 minuets of soaking in AcEW were required for the initial microbial counts in cucumbers to be reduced by 1/10. The appearance of the vegetables did not deteriorate alter soaking for 20 minuets in AcEW. The disinfectant effect was not enhanced by prolongation of treatment time. Therefore, soaking shredded vegetables in AcEW for 10 similar to 20 minuets is sufficient to disinfect microbes contaminating the surface of the vegetables. Moreover, we compared the disinfectant effects of AcEW and sodium hypochlorite (ACC of about 150 ppm) on shredded lettuces, cabbages, cucumbers, carrots and burdocks. It was found that the disinfectant effect of AcEW was equivalent to that of sodium hypochlorite solution. Unlike sodium hypochlorite solution, which has been used as a disinfectant for shredded vegetables, AcEW is easy to handle and there is little residual chlorine odor. AcEW is therefore a useful substitute for sodium hypochlorite to disinfect shredded vegetables.
• The effect of available chlorine concentration on the disinfecting potential of acidic electrolyzed water for shredded vegetables

  S Koseki, K Itoh

  JOURNAL OF THE JAPANESE SOCIETY FOR FOOD SCIENCE AND TECHNOLOGY-NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI 47 (12) 888 - 898 1341-027X 2000 [Refereed][Not invited]
   

  The main factor contributing to the disinfecting potential of acidic electrolyzed water (AcEW) is deduced to be the oxidizing power of available chlorine. In this study, we compared the reliability of two different methods for measuring the available chlorine concentration (ACC). Several AcEW solutions with different levels of ACC to which various reducing agents (ascorbic acid, ammonium iron (II) sulfate, and iron (II) chloride) had been added were prepared. These ACC levels were quantified by iodometry and the DPD (N, N-diethyl-p-phenylenediamine) method. In the case of AcEW with iron (II) ions, iodometry did not show the correct ACC. On the other hand, the DPD method correctly quantified ACC even in the case of AcEW with iron (II) ions. Thus, the DPD method is an appropriate method for measuring ACC in AcEW. Moreover, we investigated the effect of the available chlorine concentration (ACC) in AcEW on its disinfecting potential. First, we examined the disinfectant effects of AcEW on shredded vegetables. We found that there was no difference in the disinfectant effects between AcEW with high ACC (40 ppm) and low ACC (0.4 ppm). The similar effect was detected in AcEW with 0 ppm of ACC, a solution that seemed to be the same as hydrochloric acid. Moreover, tap water with pH adjusted to 2.4 showed the same disinfectant effect as that of AcEW. These results indicated that AcEW is a solution in which available chlorine is activated in a low pH condition. Next, we examined the disinfectant effects of AcEW on a suspension obtained from shredded vegetables in vitro. The disinfecting potential became weaker, but did not completely disappear, when ACC was reduced to 0 ppm, Thus, AcEW with low ACC could be used to disinfect shredded vegetables, although the disinfecting potential of AcEW would become weak. When the effective concentration of Acc was examined, it was found that the AcEW with ACC of less than 20 ppm did not have sufficient disinfectant potential. Moreover, it was found that high ORP (above 1000 mV) does not contribute to disinfecting potential. Thus, the lower limit of ACC in AcEW for AcEW to exert a sufficient disinfectant effect will be 20 ppm.
• Fundamental properties of electrolyzed water

  S Koseki, K Itoh

  JOURNAL OF THE JAPANESE SOCIETY FOR FOOD SCIENCE AND TECHNOLOGY-NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI 47 (5) 390 - 393 1341-027X 2000 [Refereed][Not invited]
   

  Electrolyzed Water (Acidic Electrolyzed Water, Alkaline Electrolyzed Water) has recently attracted the interest of researchers in various fields such as medicine, agriculture and food processing. in this study, we investigated the preservability of Electrolyzed Water produced in a two-cell batch-type apparatus. It was found that Acidic Electrolyzed Water could be preserved for one year under shaded and sealed conditions. However, Acidic Electrolyzed Water became inert after three days when exposed to light, although pH remained stable for one year. It was found out that the quality of Alkaline Electrolyzed Water changes easily regardless of preservation conditions.
• Characterization of anti-irradiation-denatured ovalbumin monoclonal antibodies. Immunochemical and structural analysis of irradiation-denatured ovalbumin

  Masuda, T., Koseki, S. Y., Yasumoto, K., Kitabatake, N.

  Journal of Agricultural and Food Chemistry 48 (7) 2000

MISC

• 細菌の死滅予測モデルにおける最近の進展—Recent Advances in Predictive Models for Bacterial Inactivation—特集 次世代型食品微生物制御論

  小関 成樹, 小山 健斗, 安部 大樹  Foods & food ingredients journal of Japan = 食品・食品添加物研究誌 : FFIジャーナル  229-  (1)  5  -12  2024
• HACCPにおける予測微生物学の活用法 : 一般社団法人日本HACCPトレーニングセンター(JHTC)第39回フォローアップセミナーより

  小関 成樹  HACCP : Hazard analysis and critical control point / 鶏卵肉情報センター [編]  28-  (9)  100  -111  2022/09
• The Characteristics of Desiccation Tolerant Microorganisms and Its Survival Mechanisms

  Koseki Shigenobu, Kawai Kiyoshi  Journal of Environmental Biotechnology  22-  (1)  33  -38  2022  [Refereed]
  
• 糖とアミノ酸で食品有害細菌を制御 : 食品加工中に生じるメイラード反応物質の抗菌活性—Control foodborne bacteria with sugars and amino acids : Antibacterial activity of Maillard reactants generated during food processing

  小関 成樹  年報 / 飯島藤十郎記念食品科学振興財団 編 = Annual report / The Tojuro Iijima Foundation for Food Science and Technology  38-  132  -138  2022
• 糖・塩・アミノ酸による食中毒菌制御技術

  小関 成樹  食品と科学  63-  (9)  16  -20  2021/09
• 糖とアミノ酸で食品有害細菌を制御 : 食品加工中に生じるメイラード反応物質の抗菌活性—Control foodborne bacteria with sugars and amino acids : Antibacterial activity of Maillard reactants generated during food processing

  小関 成樹  年報 / 飯島藤十郎記念食品科学振興財団 編 = Annual report / The Tojuro Iijima Foundation for Food Science and Technology  37-  120  -128  2021
• Application of Maillard-Reaction Based Time-Temperature Integrator/Indicator to Agricultural Products from Farm to Table

  KOSEKI Shigenobu  Journal of the Japanese Society of Agricultural Machinery and Food Engineers  82-  (4)  310  -316  2020/07
• ガラス転移現象に着目した乾燥食品中における食中毒細菌の生存挙動の解明—Investigation of pathogen survival in dry foods focusing on glass transition phenomenon

  季 京珉, 小関 成樹  年報 / 飯島藤十郎記念食品科学振興財団 編 = Annual report / The Tojuro Iijima Foundation for Food Science and Technology  36-  364  -367  2020
• 深層学習アルゴリズムを用いた青果物の鮮度判定技術の開発—Development of freshness judgement system for fresh produce using deep learning algorithm

  趙 秉烋, 小関 成樹  年報 / 飯島藤十郎記念食品科学振興財団 編 = Annual report / The Tojuro Iijima Foundation for Food Science and Technology  35-  382  -384  2019
• 発酵食品に適用できる食中毒菌の損傷度測定法

  細谷幸恵, 川崎晋, 稲津康弘, 小関成樹  農研機構食品研究部門成果情報(Web)  2019-  2019
• HACCP制度化に向けて HACCP制度化に対応した予測微生物学の活用方法

  小関成樹  食品と科学  60-  (9)  55‐62  -62  2018/08/20  [Not refereed][Not invited]
  
• 穀物の栽培・流通過程におけるカビの成長および毒素産生予測モデルの開発

  小関成樹  飯島藤十郎記念食品科学振興財団年報  33-  89‐92  2018/08  [Not refereed][Not invited]
  
• 予測微生物学とは―HACCPへの応用

  小関成樹  臨床栄養  133-  (1)  12‐13  2018/07/01  [Not refereed][Not invited]
  
• HACCP制度化に対応するための予測微生物学ソフトウェアの活用

  小関成樹  食品衛生研究  68-  (6)  37‐48  2018/06/05  [Not refereed][Not invited]
  
• HACCP制度化に対応するための予測微生物学ソフトウェアの活用—Application of Predictive Microbiology Software Tools for HACCP Planning

  小関 成樹  食品衛生研究 = Food sanitation research  68-  (6)  37  -48  2018/06
• 穀物の栽培･流通過程におけるカビの成長および毒素産生予測モデルの開発—Development of predictive model for fungal growth and mycotoxin production on grains during cultivation to distribution

  Cambaza Edgar Manuel, 小関 成樹  年報 / 飯島藤十郎記念食品科学振興財団 編 = Annual report / The Tojuro Iijima Foundation for Food Science and Technology  34-  376  -379  2018
• HACCP制度化に対応した予測微生物学の活用方法—Application of predictive microbiology for HACCP—特集 HACCPの制度化に向けて

  小関 成樹  食品の包装 = Packaging of foodstuff / 包装食品技術協会 編  50-  (1)  33  -41  2018
• 食の安全管理への予測微生物学の利用 HACCPへの予測微生物学の適用

  小関成樹  食品と開発  53-  (1)  4‐6  -6  2018/01/01  [Not refereed][Not invited]
  
• Bacterial control by using tryptophan: Application to meat and meat products processing and Investigation of its reaction mechanism

  小関成樹  食肉に関する助成研究調査成果報告書  35-  13‐18  2017/11  [Not refereed][Not invited]
  
• 高食塩濃度食品に生残するEscherichia coli O157:H7の損傷度測定法の検討

  細谷幸恵, 細谷幸恵, NOVIYANTI Fia, NOVIYANTI Fia, 齋藤美枝, 小関成樹, 稲津康弘, 川崎晋, 川崎晋  日本防菌防ばい学会年次大会要旨集  44th-  73  2017/09/25  [Not refereed][Not invited]
  
• UVC Light‐Emitting Diodeによる氷中微生物の殺菌

  村下卓, 川村周三, 小関成樹  農業食料工学会年次大会講演要旨  76th-  179  2017/09/04  [Not refereed][Not invited]
  
• 乾燥状態にある細菌の生残挙動:水分活性とガラス転移現象との関係性の解明

  正田雅輝, 川井清司, 川村周三, 小関成樹  農業食料工学会年次大会講演要旨  76th-  182  2017/09/04  [Not refereed][Not invited]
  
• 確率分布を用いたサルモネラの死滅時間の予測モデル

  安部大樹, 小山健斗, 川村周三, 小関成樹  農業食料工学会年次大会講演要旨  76th-  181  2017/09/04  [Not refereed][Not invited]
  
• 穀物の栽培・流通過程におけるカビの成長および毒素産生予測モデルの開発—Development of predictive model for fungal growth and mycotoxin production on grains during cultivation to distribution

  小関 成樹  年報 / 飯島藤十郎記念食品科学振興財団 編 = Annual report / The Tojuro Iijima Foundation for Food Science and Technology  33-  89  -92  2017
• Techniques for Ensuring the Safety and Quality of Food and Agricultural Products（Part 19）: ─Prediction of Microbial Behavior in/on Agricultural Products and Processed Foods: Applicability of Predictive Microbiology─

  KOSEKI Shigenobu  Journal of the Japanese Society of Agricultural Machinery and Food Engineers  78-  (6)  504  -512  2016/11/01
• HACCPへの予測微生物学の導入と応用—特集 "世界に通用する"食品企業の自主検査を考える

  小関 成樹  HACCP : Hazard analysis and critical control point / 鶏卵肉情報センター [編]  22-  (11)  39  -44  2016/11
• 食品の温度履歴の見える化 : 温度インジケータの開発とその応用

  小関 成樹  グリーンテクノ情報 / グリーンテクノバンク 編  12-  (2)  10  -13  2016/09
• 近赤外分光法による搾乳時乳質情報のオンラインモニタリング技術の開発

  川村周三, 森田茜, IWEKA Patricia, 三谷朋弘, 岡谷利幸, 小関成樹  農業食料工学会年次大会講演要旨  75th-  2016
• テイキ ツウシン ダイ30ゴウ ヘイセイ 28ネンド コウエンカイ チョウコウ キロク コレカラ ノ ショクヒン ビセイブツ ノ リスク カンリ シュホウ ト ソノ コクサイ ドウコウ : ショクヒン ジギョウシャ 、 ギョウセイ タントウ ニ ムケテ

  小関 成樹  食の安全と微生物検査 / 食の安全を確保するための微生物検査協議会 編  6-  (2)  3  -6  2016
• トクシュウ ヘイセイ 28ネンド コウエンカイ ショウロクシュウ コレカラ ノ ショクヒン ビセイブツ ノ リスク カンリ シュホウ ト ソノ コクサイ ドウコウ : ショクヒン ジギョウシャ 、 ギョウセイ タントウシャ ニ ムケテ

  小関 成樹  食の安全と微生物検査 / 食の安全を確保するための微生物検査協議会 編  6-  (1)  18  -32  2016
• Development of time-temperature indicator based on Maillard reaction for quality control of fresh produce

  李 延絢, 小関 成樹  年報  32-  372  -375  2016
• 定量PCR法を活用した食中毒菌の増殖特性評価

  川崎晋, 清水茂雅, 小関成樹, 稲津康弘  食品試験研究成果情報  (27)  22  -23  2015/03/31  [Not refereed][Not invited]
  
• 食品の微生物制御のための予測微生物学の適用

  KOSEKI SHIGENOBU  ミルクサイエンス  63-  (3)  159  -163  2014/12/20  [Not refereed][Not invited]
   

  近年の大量生産，大量消費を前提とした乳業業界を含めた加工食品の製造・流通・販売形態、が発達するにしたがい，食品の安全性を保証することの難しさが浮き彫りとなってきている。特に，微生物学的な安全性の確保は難しい。なぜならば，微生物は生きて食品に混在した場合，時間経過に伴い「増える」あるいは「減る」といった数の変化を伴うからである。生産時点では十分に微生物数を減らしたはずでも，流通過程において何らか温度管理不備が生じれば，食品の見た目の変化がなくても，微生物数が増加してしまい，結果として食中毒を引き起こしてしまう場合もある。また，これは他の微生物以外の化学的あるいは物理的な危害要因にも当てはまるが，大量生産される食品の場合には生産した製品全量に対して検査を実施して，安全性を確認することが極めて困難である。さらに，徴生物の場合，対象となる食品全体に均一に分布していることは稀で，どこかに局在化しているのが一般的であることから，検査時のサンプル調製の方法によっては，微生物数を的確に評価しているとはいえない。
• 保存料・日持ち向上剤の効果を視覚化:微生物増殖抑制効果を表示・検索可能とするデータベースの開発

  KOSEKI SHIGENOBU  日本食品化学研究振興財団研究成果報告書  (20)  1  -5  2014/12/15  [Not refereed][Not invited]
  
• Modelling the spread of pathogen contamination in fresh produce

  S. Koseki  Advances in Microbial Food Safety  2-  220  -237  2014/11/12  [Not refereed][Not invited]
   

  The modelling of pathogenic bacterial growth, such as Listeria monocytogenes, in raw and minimally processed, ready-to-eat foods, such asfresh-cut produce and raw minced tuna, an ingredient of sushi, is reviewed. The growth models described take into account both the environment temperature and microbial competition in the food matrix, the microbial competition in the real food environment being a key consideration. Food-based predictive models are described that enable not only the direct estimate of microbial growth on these foods but also the validation of culture medium-based predictive models.
• 食品の微生物制御のための予測微生物学の適用

  KOSEKI SHIGENOBU  ミルクサイエンス  63-  (2)  96  -97  2014/08/12  [Not refereed][Not invited]
  
• Predictive Modeling and Databases for Micribial Control in Foods

  KOSEKI SHIGENOBU  Foods & Food Ingred J Jpn  219-  (3)  231  -237  2014/08/01  [Not refereed][Not invited]
  
• 保存料・日持向上剤の効果を予測する:腐敗細菌の増殖抑制効果のモデル化

  TANABE HIKARU, KOSEKI SHIGENOBU, KAWAMURA SHUSO  農業食料工学会年次大会講演要旨  73rd-  65  2014/05/15  [Not refereed][Not invited]
  
• 可視光と近赤外光とを併用した米のアミロース含量の非破壊測定技術の開発―未知試料の測定精度―

  JO ATSUSHI, KAWAMURA SHUSO, IINO HARUKA, FUJIKAWA SAKIKO, KOSEKI SHIGENOBU  農業食料工学会年次大会講演要旨  73rd-  53  2014/05/15  [Not refereed][Not invited]
  
• 通電処理における電気的効果の検討:低温通電処理による大腸菌の損傷評価

  SHO TENSHIN, KAWAMURA SHUSO, KOSEKI SHIGENOBU  農業食料工学会年次大会講演要旨  73rd-  62  2014/05/15  [Not refereed][Not invited]
  
• ポリ乳酸とバイオポリエチレンを用いた食品包装シートの力学的特性

  HOKUNAN HIDEKAZU, KONNO KATSUMI, KOSEKI SHIGENOBU, KAWAMURA SHUSO, KIMURA TOSHINORI  農業食料工学会年次大会講演要旨  73rd-  46  2014/05/15  [Not refereed][Not invited]
  
• 中高圧処理によるかぶら寿しの促成製造

  YAMAMOTO KAZUTAKA, KOSEKI SHIGENOBU, MERUBAPAZUA ORUTEGA, MIWA SHOJI, NAKAMURA EMI, ARITE TOMOTSUGU  食品試験研究成果情報  (26)  58  -59  2014/03/31  [Not refereed][Not invited]
  
• 生産・流通・加工工程における体系的な危害要因の特性解明とリスク低減技術の開発〈かび毒・病原微生物〉第5章 病原微生物の迅速検出技術および効果的な殺菌・制御技術の開発 1 病原微生物の迅速検出技術開発(7)生産・流通過程における病原性微生物挙動予測手法の開発

  KOSEKI SHIGENOBU, YAMAMOTO KAZUTAKA  農林水産省農林水産技術会議事務局研究成果  (522)  202  -206  2014/03/31  [Not refereed][Not invited]
  
• High pressure microbial inactivation: Modelling and its features

  Koseki, S., Yamamoto, K.  Novel Food Preservation and Microbial Assessment Techniques  3  -24  2014/01/01  [Not refereed][Not invited]
   

  © 2014 by Taylor & Francis Group, LLC. The effect of high hydrostatic pressure (HHP) on bio-materials has been studied extensively and ever since the report on the effect of pressure on the preservation of milk was published in 1899 (Hite 1899), Bridgman (1914) reported on the coagulation of egg albumen by HHP-treatment and Hite (1914) reported on the effect of pressure on microorganisms in the preservation of fruits and vegetables. Since these early reports, however, it was nearly after a century that HHP-treatment was first introduced to the food industry (Hayashi et al. 1987). Thereafter, research and development on HHP food processing accelerated in Japan, and also worldwide. In 1990, the first HHP-treated foods (fruit jams) were commercialized in Japan, and other HHP-treated foods followed in the rest of the world. Recently, various HHP-treated foods have been put in the market: jams, hams and sausages, instant rice packs, shucked oysters and clams, smoothies (fruit beverages), etc. (San Martín et al. 2002).
• Risk assessment of microbial and chemical contamination in fresh produce

  Shige Koseki  Global Safety of Fresh Produce: A Handbook of Best Practice, Innovative Commercial Solutions and Case Studies  153  -171  2013/12  [Not refereed][Not invited]
   

  Outbreaks of foodborne illnesses related to the consumption of fresh produce occur all over the world. Quantitative microbial risk assessment (QMRA) for fresh produce can be used to enhance microbiological safety in the production, distribution and consumption of fresh produce. This chapter describes the prevalence of contamination of fresh produce, possible routes of pathogen contamination and pathogen behaviour on fresh produce during distribution. The information described here will be useful for QMRA as supporting knowledge. © 2014 Woodhead Publishing Limited All rights reserved.
• Overview of microbial responses viewer (MRV): A novel database for microbial responses in foods

  Shigenobu Koseki  Journal of the Food Hygienic Society of Japan  54-  (3)  J  -261-264  2013/06/01  [Not refereed][Not invited]
  
• Measurement of Microbial Activities in Food Environment : Database MRV for Microbial Activities in Food

  小関 成樹  食品工業  56-  (10)  52  -58  2013/05/30
• 食品技術講座(6)食品の安全・品質に関する技術講座(第12回)微生物挙動を予測する各種予測ツールとデータベース

  小関 成樹  冷凍 = Refrigeration  88-  (1023)  55  -60  2013/01
• 貯蔵温度がショウガ品質に及ぼす影響

  中村宣貴, 安岡由紀, 鈴木聡, 稲津康弘, 小関成樹, 椎名武夫  農業施設  44-  (3)  2013
• 貯蔵温度がショウガ品質に及ぼす影響

  中村宣貴, 安岡由紀, 鈴木聡, 稲津康弘, 小関成樹, 椎名武夫  農業施設学会大会講演要旨  2013-  2013
• 食品技術講座(6)食品の安全・品質に関する技術講座(第11回)微生物制御のための予測微生物学の最前線

  小関 成樹  冷凍 = Refrigeration  87-  (1021)  782  -786  2012/11
• 食中毒細菌の確率論的増殖モデルの開発:データベースを活用したモデルの開発と検証

  小関成樹, 中村宣貴, 椎名武夫  農業環境工学関連学会合同大会講演要旨集(CD-ROM)  2012-  2012
• 乳幼児調製粉乳中における各種病原性細菌の挙動解析

  小関成樹, 中村宣貴, 椎名武夫  日本食品微生物学会学術総会講演要旨集  33rd-  2012
• スプレードライによるCronobacter sakazakiiの死滅挙動解析

  小関成樹, 中村宣貴, 椎名武夫  日本食品工学会年次大会講演要旨集  13th-  2012
• A new Combase-derived database of microbial responses to food environments for prevention of food spoilage and poisoning : Microbial Responses Viewer (MRV)

  KOSEKI Shigenobu  農林水産技術研究ジャーナル  34-  (5)  36  -40  2011/05/01  [Not refereed][Not invited]
  
• Application of Predictive Models for Microbial Control in Foods

  KOSEKI Shigenobu  JAPANESE JOURNAL OF FOOD MICROBIOLOGY  27-  (3)  123  -129  2010/09/30  [Not refereed][Not invited]
  
• 食品微生物挙動データベースMRVの概要とその活用 (特集 食品製造・流通現場における微生物対策)

  小関 成樹  食品と科学  52-  (9)  65  -70  2010/09
• Proliferation of hazardous microbes in food and prediction of microbial extinction: application of mathematical model and information technology

  小関 成樹  The Food industry  53-  (10)  60  -67  2010/05/30  [Not refereed][Not invited]
  
• Trends in Predictive Microbiology

  KOSEKI Shigenobu  Japanese journal of food microbiology  26-  (1)  1  -6  2009/03/31  [Not refereed][Not invited]
  
• 食品高圧加工技術

  山本 和貴, 小関 成樹  食糧  (47)  37  -50  2009/03  [Not refereed][Not invited]
  
• 農産物流通最前線(45)食品環境における微生物挙動を予測する新しい研究 (農流技研会報(No.278))

  小関 成樹  フレッシュフードシステム  38-  (2)  巻末12  -14  2009  [Not refereed][Not invited]
  
• (418) Effects of Electronized Ozonated Water on Sterilization of Hydroponics Nutrient Solution(Abstracts of the Papers Presented at the Annual Meeting of the Society)

  Kusakari S, Okada K, Isobe T, Tanioka T, Yoshida K, Fujiwara K, Park J.-K, Ohashi K, Ishii M, Isobe S, Koseki S  Annals of the Phytopathological Society of Japan  74-  (3)  278  -279  2008/08/25  [Not refereed][Not invited]
  
• High pressure food processing

  山本 和貴, 小関 成樹  農業技術  63-  (2)  69  -77  2008/02  [Not refereed][Not invited]
  
• Rooting Ability of Mung Bean (Vigna radiata) Seeds Treated with High Hydrostatic Pressure

  Gu Xiaoye, Koseki Shigenobu, Yamamoto Kazutaka  High Pressure Bioscience and Biotechnology  2-  (1)  180  -184  2008  [Not refereed][Not invited]
   

  The effect of high hydrostatic pressure (HHP) treatment on rooting ability of mung bean seeds was investigated. Water content of mung beans was adjusted by immersing the beans in water at 25°C for a specific time. The mung bean seeds (water content 7, 15, 25%) were treated with HHP (100-600MPa) at 25°C for 10min. Three sets of 100 seeds for each pressure condition were applied to the treatment and HHP-treated mung beans were incubated at 25°C for testing the rooting ability. The dry mung beans (water content, 7%) showed high sprouting ratio regardless of the applied pressure. As for mung beans of intermediate water content (15%), emergence of the root was delayed and the sprouting ratio was low. Furthermore, the mung bean seeds with higher water content (25%) showed very low emerged root ratio and no sprouting even at a relatively low pressure of 100 MPa. It was clarified that pressure-resistance of mung beans was significantly affected by water content. Higher water content gave lower sprouting ratio even at low pressures. For efficient microbial inactivation and spouting, the water content of mung beans should not be high.
• Pressure Gelatinization Behaviors of Potato and Corn Starches

  Yamamoto Kazutaka, Kawai Kiyoshi, Fukami Ken, Koseki Shigenobu  High Pressure Bioscience and Biotechnology  2-  (1)  185  -189  2008  [Not refereed][Not invited]
   

  Water mixtures of potato and corn starches were prepared at starch contents of 10-70%w/w, and the mixtures were treated with high hydrostatic pressure (HHP) ranging from 200 to 1,200 MPa at 40°C for 1h. HHP-treated starch - water mixtures were analyzed by differential scanning calorimetry, and the enthalpy changes in gelatinization and re-gelatinization of retrograded starch were measured. Based on the enthalpy changes, the physically modified states of HHP-treated potato and corn starches were classified into five physical states: complete gelatinization, complete gelatinization with retrogradation, partial gelatinization, partial gelatinization with retrogradation, and thermodynamically no change. The classification was summarized into state diagrams for both starches.
• Shucking of Bivalves by High Hydrostatic Pressure Treatment

  Yamamoto Kazutaka, Nakayama Shinichiro, Murazeki Takashi, Nakayama Katsuo, Gu Xiaye, Koseki Shigenobu  High Pressure Bioscience and Biotechnology  2-  (1)  190  -194  2008  [Not refereed][Not invited]
   

  It has been known that bivalves can be shucked and the flesh can be detached after high hydrostatic pressure (HHP) treatment. In this regard, some patents have been issued. In Japan, one commercial scale shucking of oyster is realized by treating the bivalve at 80 MPa and 40&deg;C. HHP shucking of oyster contributes to reducing the labor cost and the claims from consumers on the contaminated hard shell pieces. In the USA, HHP-shucked oysters receive a good reputation. However, applicability of HHP shucking to other bivalves has not been sufficiently studied and scientific publications of the relevant data have been quite limited. In this study, bivalves other than oyster were subjected to HHP treatment for shucking and flesh detaching.
• Development of Food Processing Equipment Utilizing Medium High Pressure for Extended Use in Food Industry

  Nakayama Shinichirou, Nakayama Katsuo, Koseki Shigenobu, Yamamoto Kazutaka  High Pressure Bioscience and Biotechnology  2-  (1)  195  -199  2008  [Not refereed][Not invited]
   

  Food processing by ultra high pressure has been commercialized by leading companies in food industry. The Research Association of High Pressure Food Processing Technology in Tsukuba was established in 2004, and one of the aims of the association was to develop new equipments for high pressure food processing at low cost so that small-and-medium-sized enterprises (SMEs) can introduce the technology. Through the activity of the association, we have won a research project from the Ministry of Agriculture, Forestry, and Fisheries for developing a test model for high pressure food processing in collaboration with National Food Research Institute. As a result, we have completed a test model with a volume of 20L (250mmΦ x 420mm), a maximum pressure of 200 MPa, and a temperature range between ambient temperature and 60°C.
• オゾン水によるカット野菜の殺菌と褐変抑制

  小関 成樹  食品と容器  49-  (7)  410  -417  2008  [Not refereed][Not invited]
  
• Trends in food processing with high hydrostatic pressure

  山本 和貴, 小関 成樹  Foods & food ingredients journal of Japan  213-  (11)  977  -985  2008  [Not refereed][Not invited]
  
• 極限環境暴露がクマムシRamazzottius varieornatusの生存期間と繁殖能に与える影響

  堀川大樹, 國枝武和, 坂下哲哉, 川井清司, 岩田健一, 中原雄一, 浜田信行, 小関成樹, 山本和貴, 小林泰彦, 奥田隆  極限環境微生物学会誌  6-  (1/2)  188  -190  2007/12  [Not refereed][Not invited]
  
• Inactivation of microorganisms by high hydrostatic pressure treatment

  山本 和貴, 小関 成樹  The Food industry  50-  (14)  56  -61  2007/07/30  [Not refereed][Not invited]
  
• 高圧処理による微生物制御を最適化する予測モデルの開発 (特集:殺菌技術)

  小関 成樹, 山本 和貴  食品工業  50-  (12)  35  -43  2007/06/30  [Not refereed][Not invited]
  
• Food safety program and technologies for controlling microbial quality on fresh-whole and fresh-cut produce (6) Chemical control techniques of microorganisms (1) Acidic electrolyzed water and ozonated water

  小関 成樹  防菌防黴 = Journal of antibacterial and antifungal agents  35-  (3)  171  -179  2007/03/10  [Not refereed][Not invited]
   

  コレクション : 国立国会図書館デジタルコレクション > デジタル化資料 > 雑誌
• Water Impregnation to Whole and Crushed Soy Beans Assisted by High Pressure Treatment

  Yamamoto Kazutaka, Koseki Shigenobu, Mito Tomomi, Nakayama Shinichiro, Nakayama Katsuo  High Pressure Bioscience and Biotechnology  1-  (1)  290  -294  2007  [Not refereed][Not invited]
   

  Soybean fermented by <I>Bacillus subtilis natto</I> is called NATTO, which is one of Japanese traditional foods. Processing of NATTO needs long immersion time for water impregnation into dried soybeans. In this study, the effect of high hydrostatic pressure (HHP) on the processing of whole and crushed soybeans was investigated. Soybean samples were first of all immersed in water and then treated with HHP of up to 200 MPa. Water content of whole soybean was increased by 3% and 5% with pretreatment at 45&deg;C for 60min and successive treatments at 50 MPa and 200 MPa, respectively. Compared with conventional NATTOs, the amount of amino acids in whole NATTO decreased but that in crushed NATTO increased by approximately 2 times. Total amount of isoflavons in both NATTOs was not significantly influenced by HHP treatment.
• Bacterial Inactivation for the Safety of High-Pressure-Processed Foods

  Yamamoto Kazutaka, Koseki Shigenobu, Iwahashi Hitoshi, Obuchi Kaoru  High Pressure Bioscience and Biotechnology  1-  (1)  285  -289  2007  [Not refereed][Not invited]
   

  High hydrostatic pressure (HHP) has been utilized as a tool of food processing. Microbiological studies for the safety of HHP-processed foods have been intensively carried out. It is pointed out that during the storage of HPP-processed foods spore-forming and the other bacteria can recover and outgrow. Therefore, it is important to verify whether bacteria inactivated by HHP treatment are dead or alive and whether they can recover before and after consumption. However, the verifications are not easy because there is no consensus on the definition of bacterial death and bacterial recovery after HHP treatment has not sufficiently studied. In order to bring HHP-processed foods as pasteurized foods into discussion for international standards, scientific data ensuring food safety will be indispensable. What to be required will be process conditions for bacterial death based on agreed-upon method to verify the death.
• Gelatinization and Retrogradation of Potato Starch-Water Mixtures Treated with High Hydrostatic Pressure

  Kawai Kiyoshi, Fukami Ken, Koseki Shigenobu, Yamamoto Kazutaka  High Pressure Bioscience and Biotechnology  1-  (1)  280  -284  2007  [Not refereed][Not invited]
   

  Potato starch-water mixtures (10 to 70 % w/w) were treated with high hydrostatic pressure (HHP) up to 1.2 GPa, and then gelatinization and retrogradation properties were investigated by differential scanning calorimetry (DSC). DSC thermograms for HHP-treated samples showed various characteristic thermal behaviors depending on the treatment pressure and starch content, and enthalpy changes for gelatinization (&Delta;<I>H</I><SUB>gel</SUB>) and regelatinization of retrograded starch (&Delta;<I>H</I><SUB>retro</SUB>) of each HHP-treated mixture were evaluated. From the changes of &Delta;<I>H</I><SUB>gel</SUB> and &Delta;<I>H</I><SUB>retro</SUB>, the physically modified states of HHP-treated potato starch-water mixtures were classified as follows: no change, partial gelatinization, complete gelatinization, partial gelatinization and retrogradation, and complete gelatinization and retrogradation.
• High Hydrostatic Pressure Tolerance of Tardigrades

  Horikawa Daiki D, Kawai Kiyoshi, Koseki Shigenobu, Iwata Ken-ichi, Okuda Takashi, Yamamoto Kazutaka  High Pressure Bioscience and Biotechnology  1-  (1)  157  -160  2007  [Not refereed][Not invited]
   

  Tardigrades are small invertebrate animals and enter a dry state called &ldquo;anhydrobiosis&rdquo;. Anhydrobiotic tardigrades have also been shown incredible tolerance to extreme environments such as wide range of temperatures, radiation, chemicals, vacuum and high hydrostatic pressure up to 0.6 GPa. However, there is only one report concerning high pressure tolerance in tardigrades. Thus, in order to estimate limit of their survival ability against high pressure, we here conducted additional experiments that expose a tardigrade <I>Milnesium tardigradum</I> to 1.2 GPa. We found that all of anhydrobiotic tardigrades survived after exposure to 1.2 GPa, whereas no hydrated ones showed any movements of body after that treatment. This result indicates that biological integrity of anhydrobiotic tardigrades is not collapsed even by 1.2 GPa of high hydrostatic pressure.
• 食品加工における高圧利用の新展開(第14回)予測微生物学を活用した高圧処理による食品の微生物制御の最適化

  小関 成樹, 山本 和貴  食品と容器  48-  (2)  78  -85  2007  [Not refereed][Not invited]
  
• 食品加工における高圧利用の新展開(第15回)第4回高圧バイオサイエンス・バイオテクノロジー国際会議--食品高圧加工技術の最新動向

  山本 和貴, 小関 成樹  食品と容器  48-  (3)  150  -154  2007  [Not refereed][Not invited]
  
• ComBase : The International Database for Predictive Microbiology

  KOSEKI Shigenobu  食品衛生学雑誌 = Journal of the Food Hygienics Society of Japan  47-  (4)  "J  -247"-"J-250"  2006/08/25  [Not refereed][Not invited]
  
• ComBase: The International Database for Predictive Microbiology

  Shigenobu Koseki  JOURNAL OF THE FOOD HYGIENIC SOCIETY OF JAPAN  47-  (4)  J247  -J250  2006/08  [Not refereed][Not invited]
  
• 食品の高圧処理技術

  山本 和貴, 小関 成樹  科学と工業  80-  (4)  180  -185  2006/04  [Not refereed][Not invited]
  
• 農場から食卓まで農産物や食品の美味しさと安全を支える最先端技術

  小関成樹  農機学会フードテクノロジーフォーラム資料, 2006  2006
• 食品加工における高圧利用の新展開(第13回)高圧処理による食品の微生物制御の現状

  小関 成樹, 山本 和貴  食品と容器  47-  (12)  684  -691  2006  [Not refereed][Not invited]
  
• 予測微生物学研究の最近の動向

  小関 成樹, 山本 和貴  食品の試験と研究  (40)  15  -21  2005  [Not refereed][Not invited]
  
• 微細水滴を含む過熱水蒸気処理による野菜の高品質殺菌処理

  五月女 格, 小関 成樹, 鈴木 啓太郎  防菌防黴  33-  (10)  523  -530  2005  [Not refereed][Not invited]
  
• (249) Effect of Electrolytic Ozonized Water on Protection of Botrytis Rot of Mitsuba (Japanese hornwort: Cryptotaenia jaonica Hassk.)(Abstracts of the Papers Presented at the Annual Meeting of the Society, Fukuoka, March 28-30, 2004)

  Kusakari S, Okada K, Isobel T, Tanioka T, Yoshida K, Fujiwara K, Isobel S, Koseki S, Nishimura Y  Annals of the Phytopathological Society of Japan  70-  (3)  257  -257  2004/08/25  [Not refereed][Not invited]
  
• 電解水氷によるキャベツの殺菌および殺菌要因

  小関 成樹, 金森 晶作, 伊藤 和彦  農業機械学会誌  64-  (0)  451  -452  2002  [Not refereed][Not invited]
  
• 強酸性電解水の有効塩素がカット野菜の殺菌効果に及ぼす影響

  小関成樹  食科工  47-  (12)  888  -893  2000
• 機能性水を用いた農産物の殺菌に関する研究 (第3報):強アルカリ水の使用効果

  伊藤 和彦, 小関 成樹  農業機械学会誌  60-  (0)  173  -174  1998  [Not refereed][Not invited]
  
• 電解水を用いたカット野菜の殺菌

  伊藤 和彦, 小関 成樹  フレッシュフ-ドシステム  26-  (13)  61  -64  1997/11  [Not refereed][Not invited]
   

  資料形態 : テキストデータ プレーンテキスト
• 機能水を用いた農産物の殺菌に関する研究 (第3報):有効塩素濃度の影響について

  小関 成樹, 伊藤 和彦  農業機械学会誌  59-  (0)  201  -202  1997  [Not refereed][Not invited]
  
• 機能性水を用いた農産物の殺菌に関する研究 (第2報):強酸性イオン水の殺菌要因

  小関 成樹, 樋元 淳一, 伊藤 和彦  農業機械学会誌  58-  (0)  227  -228  1996  [Not refereed][Not invited]
  
• 機能性水を用いた農産物の殺菌に関する研究 (第1報)

  伊藤 和彦, 小関 成樹, 樋元 淳一  農業機械学会誌  58-  (0)  225  -226  1996  [Not refereed][Not invited]
  

Association Memberships

• Editorial board member, Applied and Environmental Microbiology   Editorial board member, International Journal of Food Microbiology   Editorial board member, Journal of Food Protection   

Research Projects

• Why can microorganisms withstand drying? Elucidation of drying adaptation mechanism by glass transition of microbial cells

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research

  Date (from‐to) : 2021/04 -2024/03 

  Author : 小関 成樹

   

  乾燥食品（環境）において微生物が長期間にわたり生残するための乾燥ストレス耐性を獲得するメカニズムを，微生物細胞のガラス転移現象に焦点を絞り，その物理的状態の変化の観点から明らかにする。食中毒細菌の制御から有用細菌の安定保存までを可能とする科学的な基盤を構築することを目的とする。具体的には以下の3つの研究課題について取り組む。 初年度は、研究対象を従来の細菌だけから，真菌類（カビ，酵母）や細菌芽胞に拡大して，ガラス転移温度（Tg）と水分活性（aw）との関係を昇温レオロジー測定によって明らかにした。また，得られたTgと保存中の生残に及ぼす影響を明らかにする。具体的には乾燥食品の食中毒原因として主要なサルモネラ属菌およびその近縁種の代替細菌としてCronobacter sakazakii など様々な食品の腐敗および変敗の原因となる細菌芽胞について検討した。 また、乾燥耐性が高く，食品産業において重要な細菌 Cronobacter sakazakiiと酵母を用いて、様々なawに調節した試料の分子ダイナミクス（mean square displacement, MSD）を幅広い温度範囲で測定した。また，研究室既設の温度変調FT-IRを用い，各試料の分子間相互作用変化をガラス転移と水和レベルの観点から検討した。さらに、従来よりも高感度かつ広い温度範囲で微生物のガラス転移を検出可能な方法として，直列型昇温レオロジー測定を構築した。モデル試料としてアルブミンを用い，装置の効果を検証した。
• Glass transition of bacterial cells induced by desiccation stress: Investigation of physical properties of bacterial cells for clarifying the mechanism of bacterial stability and inactivation

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

  Date (from‐to) : 2018/04 -2021/03 

  Author : Koseki Shigenobu

   

  Drying is one of the effective techniques of food preservation and it is widely used in the world for long period of time. Dry stress suppresses microbial metabolic activity by reducing free water in foods that is available for microorganisms. In particular, bacteria are known that it is difficult to keep activity in low water activity (aw) foods, although foodborne illness caused by dried foods have been occurring worldwide. The reason why bacterial cells survive under low aw environment has not been unclear. To clarify the cause of resistance of pathogenic bacterial cells to low aw stress, this study focused on glass transition phenomenon, which is changes in physical properties of bacterial cells, instead of conventional biochemical approaches.
• 食物消化過程におけるカンピロバクターの生残特性を基盤とする新たな用量反応モデルの開発

  内閣府：食品健康影響評価技術研究

  Date (from‐to) : 2018 -2019 

  Author : 小関成樹
• Mechanism of antibacterial effect of eseential amino acid(Fostering Joint International Research)

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research Fund for the Promotion of Joint International Research (Fostering Joint International Research)

  Date (from‐to) : 2016 -2018 

  Author : Shigenobu Koseki, Ross Tom, Koutsoumanis Kostas

   

  The aim of the present study was to elucidate the mode of action of D-Trp as an antibacterial agent. We investigated two different hypotheses: D-Trp is incorporated into bacteria and acts intracellularly, or D-Trp acts outside the bacterial cell and inhibits membrane function. E. coli incorporated D-Trp added to the culture medium regardless of the subsequent growth effect. Similar amounts of E. coli metabolites were detected when incubated under the growth-promoting condition of 3% NaCl and the growth-suppression condition of 3% NaCl with 40 mM D-Trp. By contrast, guanosine 3′,5′-bisdiphosphate was only detected under the growth-suppression condition. However, once E. coli cells with D-Trp-induced growth suppression were transferred to a proliferative environment, proliferation was only suppressed in the environment with specific extracellular concentrations of NaCl and D-Trp. We conclude that D-Trp influences membrane function to exert its antimicrobial effects.
• 必須アミノ酸による食品有害細菌の増殖抑制効果：作用機構の解明と予測モデルの開発

  文部科学省：科学研究費助成事業 国際共同研究加速基金（国際共同研究強化）

  Date (from‐to) : 2015 -2018 

  Author : 小関成樹
• Control of pathogenic bacterial growth by using amino acid: Investigation of the working mechanism

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)

  Date (from‐to) : 2014/04 -2017/03 

  Author : Koseki Shigenobu

   

  The present study firstly aimed at clarifying the effect of osmotic pressure induced by different osmolytes such as sodium chloride (NaCl), potassium chloride (KCl), and sucrose. Even at the same level of osmotic pressure, D-Tryptophan with NaCl significantly inhibited growth of Escherichia coli the most, compared with KCl and sucrose. Growth inhibition/no growth inhibition boundary conditions as a function of D-tryptophan and NaCl concentrations was clarified by a logistic regression model. The higher NaCl concentration, the lower D-tryptophan concentration was needed. Furthermore, we examined the effect of working temperature ranging from 15 to 46°C on the bacterial growth inhibition induced by D-tryptophan. The higher the reaction temperature, the more rapidly viable E. coli numbers were decreased. The results obtained in the present study would significantly contribute to the development of a novel bacterial growth control strategy using D-tryptophan.
• 損傷菌の発生機序の解明と検出・制御技術の開発

  農林水産省：食品の安全性と動物衛生の向上のためのプロジェクト

  Date (from‐to) : 2013 -2017 

  Author : 稲津康弘
• Let's take advantage of bacterial adaptability to environmental stress: High quality and safe food production by using uptake incompatible solute into bacterial cell

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)

  Date (from‐to) : 2011/04 -2015/03 

  Author : KOSEKI Shigenobu

   

  Under osmotic stress, bacterial cells uptake compatible solutes such as glycine-betaine to maintain homeostasis. It is unknown whether there are incompatible solutes that are similar in structure to compatible solutes but have adverse physiological effects on bacterial physiology. The objective of this study was to evaluate solute incompatibility of various amino acids against bacterial growth. Twenty-three amino acids with L and/or D isomers were examined for the effect of bacterial growth inhibition. Among the various amino acids examined, D-tryptophan (~40 mM) in PYG broth supplemented with 0 to 4% (w/v) salt inhibited the growth of Listeria monocytogenes, Salmonella enterica, and Escherichia coli O157:H7 at 25°C. These results demonstrate that the uptake of D-tryptophan as an incompatible solute during osmotic stress may inhibit bacterial growth. The antibacterial effect of D-tryptophan demonstrated in this study suggests that D-tryptophan could be used as a novel preservative.
• 低水分含量食品中における食中毒細菌（サルモネラ、腸管出血性大腸菌）の菌数変動および生存確率予測モデルの開発

  内閣府：食品健康影響評価技術研究

  Date (from‐to) : 2014 -2015 

  Author : 小関成樹
• 殺菌効果と食品品質との最適化:確率論的安全ゾーン理論と殺菌最適化システムの構築

  日本学術振興会：科学研究費助成事業 若手研究(A)

  Date (from‐to) : 2009 -2012 

  Author : 小関 成樹

   

  近年,食品の安全性を確保する手法として,「リスク」の概念の導入が進みつつある。リスク概念から生まれた新たな概念として,フードチェーン全体を考慮するFood Safety Objective(FSO)が提案されている。本研究ではFSOに対応可能な新たな殺菌評価手法を開発することを目的として,殺菌効果の評価を従来の速度論的な評価から,確率論的な評価へ転換する。さらに,確率論的な評価の中で、殺菌処理によりネガティブな効果を受ける品質の評価を取り入れて,品質面と殺菌効果との最適化を図るための新たな概念として,安全性をゾーンとして捉えるStatistical Safety Zone(SSZ,確率論的安全ゾーン)理論を提案する。本年度は加熱殺菌の指標菌としてC.sporogens, B.subtilisおよびB.coagulansについて検討した。加熱温度,加熱時間,pH,水分活性といった基本要因が殺菌効果に及ぼす影響を明らかにして,新たな確率論的な殺菌予測モデルを開発するための基礎データを蓄積した。取得データは死滅確率(殺菌成功)をロジスティック回帰分析によって,多数の要因を組み込んで記述する数理モデルへと発展させることを可能とする。さらに、本年度は導入したレトルト殺菌機を用いて加熱方式の違いによる殺菌効果の違いについても明らかにして、それらの差異を従来殺菌の指標として用いられてきたF値による評価との関係を明らかにして、新たな評価手法開発の基盤を構築した。
• 予測微生物学的解析手法を用いた微生物学的リスク評価システムの開発

  内閣府：食品健康影響評価技術研究

  Date (from‐to) : 2007 -2009 

  Author : 小関成樹
• 養液栽培におけるオゾン水による微生物制御と生産安定技術の開発

  農林水産省：先端技術を活用した農林水産研究高度化事業

  Date (from‐to) : 2007 -2008 

  Author : 谷岡 隆
• Investigation of factors on bacterial inactivation by non-thermal processing and development of predictive model for estimating bacterial inactivation

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)

  Date (from‐to) : 2006 -2008 

  Author : KOSEKI Shigenobu

   

  非熱処理の一つである高圧処理における殺菌効果に及ぼす種々の環境要因を定量的に評価して,従来の死滅曲線を求めるモデル化手法とは異なる殺菌効果予測モデルを実際の食品系において開発した。また,高圧処理によって生ずる損傷菌の回復を制御するために,高圧処理後に温和な加熱処理を施す手法を開発した。さらに,損傷回復制御条件の最適化のための数理モデルを開発し,必要に応じた処理条件の選定を可能とした。
• 強酸性電解水を用いた青果物の殺菌および青果物における食中毒細菌増殖モデルの開発

  日本学術振興会：科学研究費助成事業 特別研究員奨励費

  Date (from‐to) : 2003 -2004 

  Author : 小関 成樹

   

  本研究は希薄な食塩水を電気分解することによって得られる強酸性電解水の殺菌力と,青果物の微生物増殖過程とに注目して,以下の3点を目的としている. 1)強酸性電解水の殺菌効果を,青果物に接種した食中毒細菌に対する微生物学的な試験と共焦点レーザー蛍光顕微鏡(CLSM)による視覚化によって検討し,強酸性電解水の青果物における作用機構を明らかにする. 2)強酸性電解水の新たな利用方法として,電解水氷の有効な活用方法を開発する.そのために,電解水氷の殺菌特性および冷却特性を明らかにする. 3)強酸性電解水あるいは電解水氷によって殺菌した青果物の安全性を確保しつつ流通させるために,予測微生物学の手法を用いて,青果物の保存中における食中毒細菌増殖予測モデルを開発する. の以上3項目であるが,本年度はE.coli O157:H7をはじめとする種々の食中毒細菌青果物に接種し,青果物上での食中毒菌の増殖特性について検討した.一定温度条件下における増殖についての予測モデルの開発をした.さらに,変動温度条件にも対応できる予測モデルを開発して,実際の流通中の温度履歴からレタス上の食中毒細菌の増殖を精度良く予測することができた.この成果によって,温度履歴を測定することでその野菜における微生物学的な安全性を推定,評価することが可能になった.これらの結果はInternational Journal of Food Microbiologyに2報投稿し,受理され現在印刷中である. 以上のように,本年度の研究実施状況は当初の計画通りに順調に進捗した.