J. Baranyi

发表

Kinetics of Single Cells: Observation and Modeling of a Stochastic Process

C. Pin, J. Baranyi, 2006, Applied and Environmental Microbiology.

Notes on reparameterization of bacterial growth curves

J. Baranyi, 1992 .

A predictive model for the combined effect of pH, sodium chloride and storage temperature on the growth of Brochothrix thermosphacta.

J Baranyi, T. A. Roberts, J. Baranyi, 1993, International journal of food microbiology.

Mathematics of predictive food microbiology.

J Baranyi, T. A. Roberts, J. Baranyi, 1995, International journal of food microbiology.

Predicting fungal growth: the effect of water activity on Aspergillus flavus and related species.

J Baranyi, T. A. Roberts, J. Pitt, 1994, International journal of food microbiology.

Methods to determine the growth domain in a multidimensional environmental space.

József Baranyi, Carmen Pin, C. Pin, 2005, International journal of food microbiology.

2 – Mechanistic modelling of pathogen stress response

J. Baranyi, Y. Marc, T. Ross, 2005 .

Effects of parameterization on the performance of empirical models used in `predictive microbiology'

T. A. Roberts, T. Ross, T. McMeekin, 1996 .

A non-autonomous differential equation to model bacterial growth.

József Baranyi, T. A. Roberts, J. Baranyi, 1993 .

Effect of periodic fluctuation in the osmotic environment on the adaptation of Salmonella.

J Baranyi, J. Baranyi, S. George, 2012, Food microbiology.

Lag Phase of Salmonella enterica under Osmotic Stress Conditions

J. Baranyi, S. George, K. Zhou, 2010, Applied and Environmental Microbiology.

Connection between stochastic and deterministic modelling of microbial growth.

Zoltán Kutalik, Moe Razaz, József Baranyi, 2005, Journal of theoretical biology.

Predictive modelling to control microbial hazards in the food processing industry.

F. Smulders, J. Collins, J. Baranyi, 2004 .

Predictive Microbiology - Quantitative Microbial Ecology Culture - March 2004

J. Baranyi, J. Baranyi, 2004 .

Distribution of turbidity detection times produced by single cell-generated bacterial populations.

József Baranyi, Aline Métris, M. Peck, 2003, Journal of microbiological methods.

Stochastic modelling of bacterial lag phase.

J. Baranyi, 2002, International journal of food microbiology.

LETTERS TO THE EDITOR

C. Pin, J. Baranyi, 2002 .

A parallel study on bacterial growth and inactivation.

C. Pin, J. Baranyi, 2001, Journal of theoretical biology.

Validating and comparing predictive models.

J Baranyi, T. Ross, C. Pin, 1999, International journal of food microbiology.

Some properties of a nonautonomous deterministic growth model describing the adjustment of the bacterial population to a new environment

T. A. Roberts, J. Baranyi, P. McClure, 1993 .

Predictive model for the growth of Yersinia enterocolitica under modified atmospheres

C. Pin, J. Baranyi, G. G. de Fernando, 2000, Journal of applied microbiology.

Adding new factors to predictive models : the effect on the risk of extrapolation

J. Baranyi, M. Masana, 2000 .

Predictive models as means of measuring the relatedness of someAspergillusspecies

T. A. Roberts, J. Pitt, J. Baranyi, 1997 .

Integrated Kinetic and Probabilistic Modeling of the Growth Potential of Bacterial Populations

J. Baranyi, S. George, A. Métris, 2015, Applied and Environmental Microbiology.

In vivo and in silico determination of essential genes of Campylobacter jejuni

Jozsef Baranyi, Aline Metris, Mark Reuter, 2011, BMC Genomics.

Correction: Complexity of the International Agro-Food Trade Network and Its Impact on Food Safety

Z. Toroczkai, M. Ercsey-Ravasz, Z. Lakner, 2012, PLoS ONE.

SalmoNet, an integrated network of ten Salmonella enterica strains reveals common and distinct pathways to host adaptation

T. Korcsmáros, D. Fazekas, E. Ari, 2017, npj Systems Biology and Applications.

Interactions of Salmonella enterica subspecies enterica serovar Typhimurium with gut bacteria.

A. Narbad, C. Pin, J. Baranyi, 2015, Anaerobe.

Next generation of predictive models.

C. Pin, J. Baranyi, A. Métris, 2013 .

Modelling the photosensitization‐based inactivation of Bacillus cereus

Ž. Lukšienė, I. Buchovec, J. Baranyi, 2009, Journal of applied microbiology.

A predictive model of growth from spores of non-proteolytic Clostridium botulinum in the presence of different CO2concentrations as influenced by chill temperature, pH and NaCl

P. Fernández, M. Peck, J. Baranyi, 2001 .

From Culture-Medium-Based Models to Applications to Food: Predicting the Growth of B. cereus in Reconstituted Infant Formulae

M. Ellouze, B. Carciofi, J. Baranyi, 2017, Front. Microbiol..

Roles of Alternative Sigma Factors in Invasion and Growth Characteristics of Listeria monocytogenes 10403S Into Human Epithelial Colorectal Adenocarcinoma Caco-2 Cell

J. Baranyi, S. Chaturongakul, Teeratas Kijpornyongpan, 2022, Frontiers in Microbiology.

MilkyBase, a database of human milk composition as a function of maternal-, infant- and measurement conditions

A. Barabasi, J. Baranyi, Ayan Chatterjee, 2022, Scientific data.

Metabolic Shift of Escherichia coli under Salt Stress in the Presence of Glycine Betaine

A. T. Carter, F. Mulholland, J. Baranyi, 2014, Applied and Environmental Microbiology.

A computational approach to nutrition science reveals the dynamics of the protein content of human milk

J. Baranyi, Tünde Pacza, M. L. Martins, 2022, Innovative Food Science & Emerging Technologies.

Effect of microbial cell‐free meat extract on the growth of spoilage bacteria

J. Sofos, K. Koutsoumanis, J. Baranyi, 2009, Journal of applied microbiology.

Lag Phase Is a Distinct Growth Phase That Prepares Bacteria for Exponential Growth and Involves Transient Metal Accumulation

Arthur Thompson, Matthew D. Rolfe, József Baranyi, 2011, Journal of bacteriology.

A dynamic approach to predicting bacterial growth in food.

J Baranyi, T. A. Roberts, J. Baranyi, 1994, International journal of food microbiology.

The effect of inoculum size on the lag phase of Listeria monocytogenes.

J Baranyi, B M Mackey, O O Aboaba, 2001, International journal of food microbiology.

Information systems in food safety management.

M H Zwietering, T A McMeekin, T Ross, 2006, International journal of food microbiology.

Validating predictive models of food spoilage organisms

J. Sutherland, C. Pin, J. Baranyi, 1999, Journal of applied microbiology.

ComBase: a common database on microbial responses to food environments.

József Baranyi, Mark L Tamplin, M. Tamplin, 2004, Journal of food protection.

Predictive modelling of Salmonella: From cell cycle measurements to e-models

József Baranyi, Marina Muñoz-Cuevas, Aline Metris, 2012 .

The effect of reuterin on the lag time of single cells of Listeria innocua grown on a solid agar surface at different pH and NaCl concentrations.

J. Baranyi, M. Rasch, A. Métris, 2007, International journal of food microbiology.

Applying a generalized z-value concept to quantify and compare the effect of environmental factors on the growth of Listeria monocytogenes

J. A. Ordóñez, C. Pin, J. Baranyi, 2001 .

Predicting growth of Brochothrix thermosphacta at changing temperature.

J Baranyi, B M Mackey, J. Baranyi, 1995, International journal of food microbiology.

Predictive models as means to quantify the interactions of spoilage organisms.

C. Pin, J. Baranyi, 1998, International journal of food microbiology.

Comparison of different approaches for comparative genetic analysis using microarray hybridization

József Baranyi, Carmen Pin, Mark Reuter, 2006, Applied Microbiology and Biotechnology.

Modeling Bacillus cereus Growth and Cereulide Formation in Cereal-, Dairy-, Meat-, Vegetable-Based Food and Culture Medium

M. Ellouze, J. Baranyi, Katia Rouzeau-Szynalski, 2021, Frontiers in Microbiology.

Multilayered Networks of SalmoNet2 Enable Strain Comparisons of the Salmonella Genus on a Molecular Level

T. Korcsmáros, D. Fazekas, I. Hautefort, 2021, bioRxiv.

Use of Optical Density Detection Times To Assess the Effect of Acetic Acid on Single-Cell Kinetics

J. Baranyi, S. George, A. Métris, 2006, Applied and Environmental Microbiology.

Analysis and Validation of a Predictive Model for Growth and Death of Aeromonas hydrophila under Modified Atmospheres at Refrigeration Temperatures

C. Pin, J. Baranyi, S. George, 2004, Applied and Environmental Microbiology.

Analysing the lag-growth rate relationship of Yersinia enterocolitica.

J. A. Ordóñez, C. Pin, J. Baranyi, 2002, International journal of food microbiology.

Effect of capric, lauric and alpha-linolenic acids on the division time distributions of single cells of Staphylococcus aureus.

C. Pin, J. Baranyi, M. E. Guerzoni, 2008, International journal of food microbiology.

A stochastic approach for modelling the effects of temperature on the growth rate of Bacillus cereus sensu lato.

M. Ellouze, F. Postollec, J. Baranyi, 2021, International journal of food microbiology.

Modelling the growth of Clostridium perfringens during the cooling of bulk meat.

M. Peck, C. Aldus, J. Baranyi, 2008, International journal of food microbiology.

Recovery of heat-injured Listeria monocytogenes.

J. Baranyi, E. Boogard, B. Mackey, 1994, International journal of food microbiology.

Microbiological Testing for the Proper Assessment of the Hygiene Status of Beef Carcasses

J. Baranyi, B. Franco, M. Landgraf, 2019, Microorganisms.

Growth/no growth interface of Brochothrix thermosphacta as a function of pH and water activity

József Baranyi, J. Baranyi, Marcelo O. Masana, 2000 .

Estimating Bacterial Growth Parameters by Means of Detection Times

C. Pin, J. Baranyi, 1999, Applied and Environmental Microbiology.

Modeling the history effect on microbial growth and survival: deterministic and stochastic approaches.

C. Pin, J. Baranyi, R. Mckellar, 2004 .

Modeling the Variability of Single-Cell Lag Times for Listeria innocua Populations after Sublethal and Lethal Heat Treatments

J. Baranyi, S. George, B. Mackey, 2008, Applied and Environmental Microbiology.

Simple is good as long as it is enough

J. Baranyi, 1997 .

Measurements and predictions of growth for Listeria monocytogenes and Salmonella during fluctuating temperature II. Rapidly changing temperatures.

J. Baranyi, R. Bovill, J. Bew, 2001, International journal of food microbiology.

Predictions of growth for Listeria monocytogenes and Salmonella during fluctuating temperature.

J Baranyi, J. Baranyi, N. Cook, 2000, International journal of food microbiology.

Optimization of turbidity experiments to estimate the probability of growth for individual bacterial cells.

M. Ellouze, Bruno Augusto Mattar Carciofi, J. Baranyi, 2019, Food microbiology.

Modeling bacterial growth responses

T. A. Roberts, J. Sutherland, J. Baranyi, 1993, Journal of Industrial Microbiology.

Modelling the variability of lag times and the first generation times of single cells of E. coli.

J Baranyi, J. Baranyi, A. Elfwing, 2005, International journal of food microbiology.

Incorporating prior knowledge improves detection of differences in bacterial growth rate

Matthew Hartley, Richard J. Morris, József Baranyi, 2015, BMC Systems Biology.

Modelling osmotic stress by Flux Balance Analysis at the genomic scale.

József Baranyi, Aline Metris, J. Baranyi, 2012, International journal of food microbiology.

The ComBase initiative

T. Ross, M. Tamplin, J. Baranyi, 2004 .

Software programs to increase the utility of predictive microbiology information.

József Baranyi, M. Tamplin, J. Baranyi, 2003 .

Modeling the Effect of Abrupt Acid and Osmotic Shifts within the Growth Region and across Growth Boundaries on Adaptation and Growth of Listeria monocytogenes

P. Skandamis, K. Jordan, E. Drosinos, 2010, Applied and Environmental Microbiology.

The effect of pH on the growth rate of Bacillus cereus sensu lato: Quantifying strain variability and modelling the combined effects of temperature and pH.

M. Ellouze, L. Baert, F. Postollec, 2021, International journal of food microbiology.

Rethinking Tertiary Models: Relationships between Growth Parameters of Bacillus cereus Strains

M. Ellouze, J. Baranyi, Nathália Buss da Silva, 2017, Front. Microbiol..

Stochastic modelling of individual cell growth using flow chamber microscopy images.

Z. Kutalik, J. Baranyi, A. Elfwing, 2005, International journal of food microbiology.

Single-Cell and Population Lag Times as a Function of Cell Age

Carmen Pin, C. Pin, J. Baranyi, 2008, Applied and Environmental Microbiology.

Predicting fungal growth: the effect of water activity on Penicillium roqueforti.

J. Baranyi, Ľ. Valík, F. Görner, 1999, International journal of food microbiology.

Network analysis of the transcriptional pattern of young and old cells of Escherichia coli during lag phase

Matthew D. Rolfe, József Baranyi, Michael W. Peck, 2009, BMC Systems Biology.

Observing Growth and Division of Large Numbers of Individual Bacteria by Image Analysis

A. Ballagi, J. Baranyi, A. Elfwing, 2004, Applied and Environmental Microbiology.

18 – Modelling microbiological safety

J. Baranyi, 2001 .

Does proximity to neighbours affect germination of spores of non-proteolytic Clostridium botulinum?

S. Stringer, M. Peck, J. Baranyi, 2012, Food microbiology.

Estimating the optimal efflux inhibitor concentration of carvacrol as a function of the bacterial physiological state

G. Kiskó, A. Klančnik, S. S. Možina, 2023, Frontiers in Microbiology.

Parameter estimation for the distribution of single cell lag times.

Zoltán Kutalik, József Baranyi, Z. Kutalik, 2009, Journal of theoretical biology.

CommentarySimple is good as long as it is enough

J. Baranyi, 1997 .

Complexity of the International Agro-Food Trade Network and Its Impact on Food Safety

Zoltán Toroczkai, Zoltán Lakner, Mária Ercsey-Ravasz, 2012, PloS one.

SalmoNet, an integrated network of ten Salmonella enterica strains reveals common and distinct pathways to host adaptation

T. Korcsmáros, D. Fazekas, E. Ari, 2017, npj Systems Biology and Applications.

Quantitative Microbial Ecology of Food

J. Baranyi, J. Baranyi, 2005 .

A Combined Model for Growth and Subsequent Thermal Inactivation of Brochothrix thermosphacta

J Baranyi, B M Mackey, J. Baranyi, 1996, Applied and environmental microbiology.

A Dynamic Network Analysis of the Physiological State of Foodborne Pathogens: Application to Escherichia Coli During Osmotic Stress and Comparison with Salmonella Typhimurium

J. Baranyi, S. George, A. Métris, 2016 .

Bacterial economics: adaptation to stress conditions via stage-wise changes in the response mechanism.

J. Baranyi, S. George, A. Métris, 2015, Food microbiology.

Network analysis of the transcriptional pattern of young and old cells of Escherichia coli during lag phase

M. Peck, J. Hinton, N. Walton, 2009, BMC Systems Biology.

From Data to Models and Predictions in Food Microbiology

M. Ellouze, J. Baranyi, Maha Rockaya, 2024, Current Opinion in Food Science.

Predicting the kinetics of Listeria monocytogenes and Yersinia enterocolitica under dynamic growth/death-inducing conditions, in Italian style fresh sausage.

József Baranyi, G. Migliorati, J. Baranyi, 2017, International journal of food microbiology.

Interstrain Interactions between Bacteria Isolated from Vacuum-Packaged Refrigerated Beef

M. Tamplin, Peipei Zhang, J. Baranyi, 2015, Applied and Environmental Microbiology.

Error analysis in predictive modelling demonstrated on mould data.

J. Baranyi, J. Beczner, O. Csernus, 2014, International journal of food microbiology.

Modeling the Effect of Abrupt Acid and Osmotic Shifts within the Growth Region and across Growth Boundaries on Adaptation and Growth of Listeria monocytogenes

P. Skandamis, E. Drosinos, J. Baranyi, 2010, Applied and Environmental Microbiology.

Predictions under Isothermal and Dynamically Changing Conditions

J. Baranyi, Y. Le Marc, 2007, Applied and Environmental Microbiology.

A response surface study on the role of some environmental factors affecting the growth of Saccharomyces cerevisiae.

T. A. Roberts, J. Sutherland, J. Baranyi, 1995, International journal of food microbiology.

Predicting the Behaviour of Yersinia Enterocolitica and Listeria Monocytogenes in Italian Style Fresh Sausages under Drying Period

G. Migliorati, J. Baranyi, G. A. Santarelli, 2016 .

Predicting the Growth of L. monocytogenes in Meat under Fluctuating Temperatures: a Specific Software Tool

J. Baranyi, Y. Marc, 2002 .

A terminology for models in predictive microbiology—a reply to K.R. Davey

T. A. Roberts, J. Baranyi, 1992 .