Prevention of the growth of harmful microorganisms in food products is an important
requirement for ensuring food safety and quality. Mathematical models to predict the …

Predictive modeling of microbial behavior in food is a critical tool for assessing and
mitigating potential risks in the food industry. Such models are developed based on …

In the last 20 years, the use of microbial reduction models has expanded significantly,
including inactivation (linear and nonlinear), survival, and transfer models. However, a major …

Temperature treatments are one of the most commonly used methods for microbial
inactivation in food industries. Microbial inactivation models can support optimization of …

Modeling has become an important and efficient tool to predict microbial behavior in food
safety and engineering. Foodborne pathogen infections, leading to foodborne illnesses and …

Food process models are typically aimed at improving process design or operation by
optimizing some physical or chemical outcome, such as maximizing processing yield …

The landscape of mathematical model‐based understanding of microbial food safety is wide
and deep, covering interdisciplinary fields of food science, microbiology, physics, and …

The mathematical models used in predictive microbiology contain parameters that must be
estimated based on experimental data. Due to experimental uncertainty and variability, they …

Mathematical models developed in predictive microbiology are nowadays an essential tool
for food scientists and researchers. However, advanced knowledge of scientific …

The prediction of growth and inactivation of microorganisms in food matrices is a field of
intensive research with increasing relevance to food safety professionals and public …