Two different microbial modeling procedures were compared and validated against
independent data for Listeria monocytogenes growth. The most generally used method is …

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 …

Growth of Listeria monocytogenes and Listeria innocua in commercially available sterile
homogeneous foods was investigated at different temperatures, pH values, and NaCl …

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 …

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

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) …

Predictive microbiology provides a powerful tool to aid the exposure assessment phase of
'quantitative microbial risk assessment'. Using predictive models changes in microbial …

Survival and growth of Listeria monocytogenes isolates during sous vide processing and
storage, and the applicability of predictive modelling in determining the potential for growth …

Different secondary modeling approaches for the estimation of Listeria monocytogenes
growth rate as a function of temperature (4 to 30° C), citric acid (0% to 0.4% w/v), and …