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When is simple good enough: a comparison of the Gompertz, Baranyi, and three-phase linear models for fitting bacterial growth curves
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A Monte Carlo Simulation of theEscherichia coliCell Cycle
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Predicting microbial growth: growth responses of salmonellae in a laboratory medium as affected by pH, sodium chloride and storage temperature
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The effect of incubation temperature and inoculum size on growth of salmonellae in minced beef
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Mathematics of predictive food microbiology
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Predicting growth of Brochothrix thermosphacta at changing temperature
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Evaluation of a predictive model for the shelf life of cod (Gadus morhua) fillets stored in two different atmospheres at varying temperatures
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A dynamic approach to predicting bacterial growth in food
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Expansion of response surface models for the growth of Escherichia coli O157 : H7 to include sodium nitrite as a variable
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A mathematical approach toward defining and calculating the duration of the lag phase
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Refinements in the prediction of microbial growth curves
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Quality Assurance in the Fish Industry
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The generation time, lag time, and minimum temperature of growth of coliform organisms on meat, and the implications for codes of practice in abattoirs
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Normal Distribution of Cell Generation Rates
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Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
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Variation of Generation Times in Escherichia coli Populations: its Cause and Implications
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Cell Cycle Dynamics Inferred from the Static Properties of Cells in Balanced Growth
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Modelling the relation between bacterial growth and storage temperature in pasteurized milks of varying hygienic quality
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Modeling of the Bacterial Growth Curve
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Generality of the growth kinetics of the average individual cell in different bacterial populations
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The Growth Rate of Individual Bacterial Cells
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Kinetics of Growth of Individual Cells ofEscherichia coliandAzotobacter agilis
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A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
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Response Surface Model for Predicting the Effects of Temperature pH, Sodium Chloride Content, Sodium Nitrite Concentration and Atmosphere on the Growth of Listeria monocytogenes
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Simple is good as long as it is enough
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Simple is good as long as it is enough
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Comparison of the Baranyi model with the modified Gompertz equation for modelling thermal inactivation of Listeria monocytogenes Scott A
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Modelling the individual cell lag phase: effect of temperature and pH on the individual cell lag distribution of Listeria monocytogenes
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inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2005.06.014openalex-snapshot
Modeling and predicting non-isothermal microbial growth using general purpose software
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2006.08.002openalex-snapshot
Effect of environmental parameters on growth kinetics of Bacillus cereus (ATCC 7004) after mild heat treatment
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2006.09.022openalex-snapshot
Effect of starvation on expression of the ribosomal RNA rrnB P2 promoter during the lag phase of Pseudomonas fluorescens
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2007.08.005openalex-snapshot
Estimating microbial growth parameters from non-isothermal data: A case study with Clostridium perfringens
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2008.07.022openalex-snapshot
Mathematical modelling for predicting the growth of Pseudomonas spp. in poultry under variable temperature conditions
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2011.07.001openalex-snapshot
A stochastic approach for integrating strain variability in modeling Salmonella enterica growth as a function of pH and water activity
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2011.07.027openalex-snapshot
Development of a dynamic growth–death model for Escherichia coli O157:H7 in minimally processed leafy green vegetables
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2011.12.035openalex-snapshot
Growth curve prediction from optical density data
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2012.09.017openalex-snapshot
Comparison of 1-step and 2-step methods of fitting microbiological models
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2012.11.010openalex-snapshot
Development and validation of a predictive model for the growth of Vibrio parahaemolyticus in post-harvest shellstock oysters
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2013.01.021openalex-snapshot
Potential application of quantitative microbiological risk assessment techniques to an aseptic-UHT process in the food industry
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2013.05.018openalex-snapshot
Efficacy of different antimicrobials on inhibition of Listeria monocytogenes growth in laboratory medium and on cold-smoked salmon
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2013.11.019openalex-snapshot
IPMP 2013 — A comprehensive data analysis tool for predictive microbiology
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2014.03.017openalex-snapshot
Optimization of combinations of bactericidal and bacteriostatic treatments to control Listeria monocytogenes on cold-smoked salmon
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2014.06.022openalex-snapshot
Modeling growth of three bakery product spoilage molds as a function of water activity, temperature and pH
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2014.09.023openalex-snapshot
Probabilistic exposure assessment model to estimate aseptic-UHT product failure rate
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2015.06.010openalex-snapshot
Prediction of spoilage of tropical shrimp (Penaeus notialis) under dynamic temperature regimes
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2015.07.008openalex-snapshot
Modeling red cabbage seed extract effect on Penicillium corylophilum: Relationship between germination time, individual and population lag time
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2016.06.013openalex-snapshot
Quantifying the effect of water activity and storage temperature on single spore lag times of three moulds isolated from spoiled bakery products
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2016.09.012openalex-snapshot
The effect of different matrices on the growth kinetics and heat resistance of Listeria monocytogenes and Lactobacillus plantarum
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2016.10.005openalex-snapshot
Detection probability models for bacteria, and how to obtain them from heterogeneous spiking data. An application to Bacillus anthracis
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2017.12.017openalex-snapshot
Mathematical modelling of temperature effect on growth kinetics of Pseudomonas spp. on sliced mushroom (Agaricus bisporus)
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2020.108914openalex-snapshot
Variability in lag duration of Listeria monocytogenes strains in half Fraser enrichment broth after stress affects the detection efficacy using the ISO 11290-1 method
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2021.109269openalex-snapshot
Amino acid substitutions in ribosomal protein RpsU enable switching between high fitness and multiple-stress resistance in Listeria monocytogenes
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2021.109491openalex-snapshot
A mathematical model to predict the antilisteria bioprotective effect of Latilactobacillus sakei CTC494 in vacuum packaged cooked ham
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2021.109519openalex-snapshot
Predicting B. cereus growth and cereulide production in dairy mix
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2023.110134openalex-snapshot
Growth behavior of Shiga toxin-producing Escherichia coli, Salmonella, and generic E. coli in raw pork considering background microbiota at 10, 25, and 40 °C
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2024.110680openalex-snapshot
Stress resistant rpsU variants of Listeria monocytogenes can become underrepresented due to enrichment bias
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2024.110808openalex-snapshot
Modeling the growth of Salmonella in raw ground pork under dynamic conditions of temperature abuse
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2025.111160openalex-snapshot
Elucidating the biofilm formation process, microstructure and functional gene expression of Listeria monocytogenes in beef juice
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2025.111221openalex-snapshot
Assessing the growth dynamics of Listeria monocytogenes and microbiota in RTE poultry: A combined BP-ANN and traditional approach
inferred← citeshttps://doi.org/10.1016/j.ijfoodmicro.2025.111343openalex-snapshot
Listeria monocytogenes growth under well-controlled CO2, pH, and temperature conditions through a novel gas-controlling system
inferred← citeshttps://doi.org/10.1016/j.jbiotec.2012.06.003openalex-snapshot
Mathematical approach for the optimal expansion of erythroid progenitors in monolayer culture
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2007.02.014openalex-snapshot
Description of leavening of bread dough with mathematical modelling
inferred← citeshttps://doi.org/10.1016/j.jfoodeng.2014.07.014openalex-snapshot
Monte Carlo analysis of the product handling and high-pressure treatment effects on the Vibrio vulnificus risk to raw oysters consumers
inferred← citeshttps://doi.org/10.1016/j.jfp.2024.100270openalex-snapshot
Strain-specific Growth Parameters are Important to Accurately Model Bacterial Growth on Baby Spinach in Simulation Models
inferred← citeshttps://doi.org/10.1016/j.jfp.2024.100387openalex-snapshot
Development and Validation of a Predictive Model for Growth of Salmonella Infantis in Ground Turkey
inferred← citeshttps://doi.org/10.1016/j.jfp.2024.100417openalex-snapshot
Application of Mechanistic Models and the Gaussian Process Model to Predict Bacterial Growth on Baby Spinach During Refrigerated Storage
inferred← citeshttps://doi.org/10.1016/j.jfp.2025.100482openalex-snapshot
Reconsidering Stochasticity in Modeling of Bacterial Population Growth and Inactivation With Technical and Biological Variability
inferred← citeshttps://doi.org/10.1016/j.jfp.2025.100497openalex-snapshot
A Critical Review of Parameters Relevant for Shiga Toxin-producing Escherichia coli and Listeria monocytogenes Risk Assessments of Leafy Greens
inferred← citeshttps://doi.org/10.1016/j.jfp.2026.100768openalex-snapshot
Peracetic Acid Efficacy Against Salmonella Is Driven by Temperature, Bacterial Concentration, and Serovar
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2005.11.046openalex-snapshot
Soluble substrate concentrations in leachate from field scale MSW test cells
inferred← citeshttps://doi.org/10.1016/j.jmmm.2022.170091openalex-snapshot
Uniform size PEGylated iron oxide nanoparticles as a potential theranostic agent synthesized by a simple optimized coprecipitation route
inferred← citeshttps://doi.org/10.1016/j.jspr.2016.09.003openalex-snapshot
Storage of hybrid rough rice – Consideration of microbial growth kinetics and prediction models
inferred← citeshttps://doi.org/10.1016/j.jspr.2025.102562openalex-snapshot
Evaluating the population dynamics of a maize weevil under varying initial population sizes
inferred← citeshttps://doi.org/10.1016/j.jtbi.2004.08.013openalex-snapshot
Connection between stochastic and deterministic modelling of microbial growth
inferred← citeshttps://doi.org/10.1016/j.jtbi.2006.01.029openalex-snapshot
Individual-based modelling of bacterial cultures to study the microscopic causes of the lag phase
inferred← citeshttps://doi.org/10.1016/j.jtbi.2006.08.017openalex-snapshot
On the lag phase and initial decline of microbial growth curves
inferred← citeshttps://doi.org/10.1016/j.jtbi.2012.12.003openalex-snapshot
Modelling colony population growth in the filamentous fungus Aspergillus nidulans
inferred← citeshttps://doi.org/10.1016/j.jtbi.2021.110758openalex-snapshot
Application of growth rate from kinetic model to calculate stochastic growth of a bacteria population at low contamination level
inferred← citeshttps://doi.org/10.1016/j.lwt.2016.06.037openalex-snapshot
Cost, quality, and safety: A nonlinear programming approach to optimize the temperature during supply chain of leafy greens
inferred← citeshttps://doi.org/10.1016/j.lwt.2017.06.030openalex-snapshot
Alternative process for strawberry juice processing: Microwave hydrodiffusion and gravity
inferred← citeshttps://doi.org/10.1016/j.lwt.2017.08.008openalex-snapshot
Quantifying the effectiveness of washing treatments on the microbial quality of fresh-cut romaine lettuce and cantaloupe
inferred← citeshttps://doi.org/10.1016/j.mbs.2006.08.013openalex-snapshot
A general bilinear model to describe growth or decline time profiles
inferred← citeshttps://doi.org/10.1016/j.mbs.2024.109322openalex-snapshot
A stochastic model for the bacterial growth exhibiting staged growth, desynchronization, saturation and persistence
inferred← citeshttps://doi.org/10.1016/j.meatsci.2008.06.019openalex-snapshot
Comparison of acids on the induction of an Acid Tolerance Response in Salmonella typhimurium, consequences for food safety
inferred← citeshttps://doi.org/10.1016/j.meatsci.2015.04.006openalex-snapshot
Predictive model for the growth kinetics of Staphylococcus aureus in raw pork developed using Integrated Pathogen Modeling Program (IPMP) 2013
inferred← citeshttps://doi.org/10.1016/j.micron.2021.103183openalex-snapshot
Effect of pepper extracts on the viability kinetics, topography and Quantitative NanoMechanics (QNM) of Campylobacter jejuni evaluated with AFM
inferred← citeshttps://doi.org/10.1016/j.mimet.2021.106366openalex-snapshot
Is skipping the definition of primary and secondary models possible? Prediction of Escherichia coli O157 growth by machine learning
inferred← citeshttps://doi.org/10.1016/j.mran.2015.08.002openalex-snapshot
Simulation and evaluation of different statistical functions for describing lag time distributions of a bacterial growth curve
inferred← citeshttps://doi.org/10.1016/j.mran.2017.09.001openalex-snapshot
Can stochastic consumer phase models in QMRA be simplified to a single factor?
inferred← citeshttps://doi.org/10.1016/j.mran.2021.100160openalex-snapshot
Assessing the Risk of Salmonellosis from Consumption of Conventionally and Alternatively Produced Broiler Meat Prepared In-Home in the United States
inferred← citeshttps://doi.org/10.1016/j.mran.2025.100357openalex-snapshot
Microbial risk and health burden associated with the domestic preparation of lentils in France and Hungary
inferred← citeshttps://doi.org/10.1016/j.nbt.2016.12.006openalex-snapshot
Model-based characterisation of growth performance and l-lactic acid production with high optical purity by thermophilic Bacillus coagulans in a lignin-supplemented mixed substrate medium
inferred← citeshttps://doi.org/10.1016/j.polymer.2022.124568openalex-snapshot
Detailed morphological and kinetic studies of cellulose biosynthesis from Leifsonia soli
inferred← citeshttps://doi.org/10.1016/j.postharvbio.2020.111144openalex-snapshot
Mathematical modeling Pseudomonas spp. growth and microflora composition variation in Agaricus bisporus fruiting bodies during chilled storage
inferred← citeshttps://doi.org/10.1016/j.profoo.2011.09.158openalex-snapshot
The heterogeneous heat stress response of Escherichia coli K12
inferred← citeshttps://doi.org/10.1016/j.profoo.2016.06.004openalex-snapshot
A Web-based Application Customized to Food Safety Requirements of Small-sized Enterprises
inferred← citeshttps://doi.org/10.1016/j.psep.2021.07.019openalex-snapshot
Modeling and characterization of an engineered microbial biosensor for high-throughput screening of arsenic in rural water
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