In this study, predictions for growth rate of Listeria on food products were evaluated by both
general applicable models and specific growth models. Literature values, obtained from a …

The performance of six predictive models for Listeria monocytogenes was evaluated using
1014 growth responses of the pathogen in meat, seafood, poultry and dairy products. The …

Aims: To evaluate the performances of models predicting the growth rate or the growth
probability of Listeria monocytogenes in food. Methods and Results: Cardinal and square …

Growth data for Listeria monocytogenes were collected from the literature and a global
model built with existing secondary models describing independently the effects of …

A multiplicative secondary model previously published to describe independently the effects
of environmental factors on the growth rate of Listeria monocytogenes (Augustin and Carlier …

The combined effect of temperature (1–20° C), pH (4.5–7.2) and acetic acid (0–10 000 mg/l;
model 1) or lactic acid (0–20000 mg/l; model 2) on growth of Listeria monocytogenes in …

The effects of concentration of NaCl (0.5 to 12.5%), methyl paraben (0.0 to 0.2%), sodium
propionate (0.3%), sodium benzoate (0.1%), potassium sorbate (0.3%), pH (> 5.9) …

A mathematical model was developed for predicting the growth of L. monocytogenes at 9° C
in the presence of 70 ppm sodium nitrite, and at different levels of pH (5.5–6.5), sodium …

This study compared the performance of four primary mathematical models to study the
growth kinetics of Listeria monocytogenes ribotypes grown at low temperature so as to …

Predictive microbiology models are essential tools to model bacterial growth in quantitative
microbial risk assessments. Various predictive microbiology models and sets of parameters …