Shigenobu Koseki

发表

Determination of “Hass” Avocado Ripeness During Storage Based on Smartphone Image and Machine Learning Model

S. Koseki, B. Cho, K. Koyama, 2020, Food and Bioprocess Technology.

Evaluation of thermal inactivation of Escherichia coli using microelectrode ion flux measurements with osmotic stress

T. Ross, T. McMeekin, J. Bowman, 2012, Letters in applied microbiology.

Growth Inhibition of Listeria monocytogenes, Salmonella enterica, and Escherichia coli O157:H7 by D-tryptophan as an incompatible solute.

N. Nakamura, T. Shiina, S. Koseki, 2015, Journal of food protection.

Combined analysis of near-infrared spectra, colour, and physicochemical information of brown rice to develop accurate calibration models for determining amylose content.

S. Kawamura, S. Koseki, Edenio Olivares Díaz, 2019, Food chemistry.

A Glance at Aflatoxin Research in Mozambique

S. Kawamura, S. Koseki, Edgar Cambaza, 2018, International journal of environmental research and public health.

Aflatoxins in Mozambique: a Historical Review

S. Kawamura, S. Koseki, Edgar Cambaza, 2018 .

Aflatoxins in Mozambique: Etiology, Epidemiology and Control

S. Kawamura, S. Koseki, Edgar Cambaza, 2018, Agriculture.

1 Aflatoxins in Mozambique : etiology , epidemiology 2 and control 3

S. Kawamura, S. Koseki, Edgar Cambaza, 2018 .

Is skipping the definition of primary and secondary models possible? Prediction of Escherichia coli O157 growth by machine learning.

S. Koseki, K. Koyama, Kyosuke Kubo, 2021, Journal of microbiological methods.

Competitive growth kinetics of Campylobacter jejuni, Escherichia coli O157:H7 and Listeria monocytogenes with enteric microflora in a small‐intestine model

S. Koseki, K. Koyama, Hiroki Abe, 2021, Journal of applied microbiology.

Predictive Growth Model of Listeria monocytogenes Under Fluctuating Temperature Conditions in Pasteurized Milk by Using Real-Time Polymerase Chain Reaction.

S. Koseki, Yukie Hosotani, S. Kawasaki, 2020, Foodborne pathogens and disease.

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

S. Koseki, Yukie Hosotani, S. Kawasaki, 2018, LWT.

Predictive Modeling for the Growth of Salmonella Enteritidis in Chicken Juice by Real-Time Polymerase Chain Reaction.

S. Koseki, Yukie Hosotani, S. Kawasaki, 2018, Foodborne pathogens and disease.

A Novel Approach to Predict the Growth of Staphylococcus aureus on Rice Cake

S. Koseki, D. Oh, Jun Wang, 2017, Front. Microbiol..

Predictive Modeling for Estimation of Bacterial Behavior from Farm to Table.

Shigenobu Koseki, S. Koseki, Shigenobu Koseki, 2016, Food safety.

High Pressure Microbial Inactivation: Modelling and its Features

S. Koseki, Kazutaka Yamamoto, Shigenobu Koseki, 2014 .

Growth modeling of Listeria monocytogenes in pasteurized liquid egg.

H. Tsubone, K. Sugiura, M. Kunou, 2013, Journal of food protection.

Alternative Approach To Modeling Bacterial Lag Time, Using Logistic Regression as a Function of Time, Temperature, pH, and Sodium Chloride Concentration

S. Koseki, Junko Nonaka, Shigenobu Koseki, 2012, Applied and Environmental Microbiology.

Application of Predictive Models for Microbial Control in Foods

S. Koseki, Shigenobu Koseki, 2010 .

Prediction of pathogen growth on iceberg lettuce under real temperature history during distribution from farm to table.

S. Isobe, S. Koseki, Shigenobu Koseki, 2005, International journal of food microbiology.

Ensuring Fresh Produce Safety and Quality by Utilizing Predictive Growth Models and Predictive Microbiology Software Tools

S. Koseki, Shigenobu Koseki, 2018 .

Modelling the spread of pathogen contamination in fresh produce

S. Koseki, S. Koseki, Shigenobu Koseki, 2015 .

Trends in Predictive Microbiology

S. Koseki, Shigenobu Koseki, 2009 .

Diversity of Physicochemical Properties of Different Rice Varieties Produced in Regions of Hokkaido, Japan through Eight Years

S. Kawamura, M. Matsuo, Shigenobu Koseki, 2020, Environment Control in Biology.

The Effect of Available Chlorine Concentration on the Disinfecting Potential of Acidic Electrolyzed Water for Shredded Vegetables.

K. Itoh, S. Koseki, Shigenobu Koseki, 2000 .

Bayesian Generalized Linear Model for Simulating Bacterial Inactivation/Growth Considering Variability and Uncertainty

S. Koseki, K. Koyama, Hiroki Abe, 2021, Frontiers in Microbiology.

Calculating stochastic inactivation of individual cells in a bacterial population using variability in individual cell inactivation time and initial cell number.

S. Kawamura, K. Koyama, Hiroki Abe, 2019, Journal of theoretical biology.

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.

S. Kawamura, S. Koseki, K. Koyama, 2019, Food microbiology.

Stochastic simulation for death probability of bacterial population considering variability in individual cell inactivation time and initial number of cells.

S. Kawamura, K. Koyama, Hiroki Abe, 2019, International journal of food microbiology.

Estimation of the probability of bacterial population survival: Development of a probability model to describe the variability in time to inactivation of Salmonella enterica.

S. Kawamura, K. Koyama, Hidekazu Hokunan, 2017, Food microbiology.

Growth of Listeria monocytogenes on iceberg lettuce and solid media.

Shigenobu Koseki, S. Isobe, S. Koseki, 2005, International journal of food microbiology.

Comparison of two possible routes of pathogen contamination of spinach leaves in a hydroponic cultivation system.

S. Koseki, Y. Mizuno, Kazutaka Yamamoto, 2011, Journal of food protection.

Prevalence and antimicrobial resistance of Shiga toxin-producing Escherichia coli in milk and dairy products in Egypt

S. Koseki, Tetsuya Matsumoto, H. Khalifa, 2019, Journal of environmental science and health. Part. B, Pesticides, food contaminants, and agricultural wastes.

Prevalence of Salmonella spp. in Egyptian dairy products: molecular, antimicrobial profiles and a reduction trial using d-tryptophan

S. Kawamura, S. Koseki, A. Abdelkhalek, 2019, Journal of Consumer Protection and Food Safety.

Quantitative Evaluation of Changes in Color during Maillard Reaction for Development of Novel Time-Temperature Integrators/Indicators

S. Kawamura, S. Koseki, Jung-Hyun Lee, 2018 .