Predicting the growth and behaviour of microorganisms in food has long been an aim in
food microbiology research. In recent years, microbial models have evolved to become more …

Techniques for the development of mathematical models in the area of predictive
microbiology have greatly improved recently, allowing better and more accurate descriptions …

Food products are generally to be considered as complex microbial ecosystems, consisting
of various sets of heterogeneous microbial populations that interact with each other and with …

Predictive microbiology is a relatively novel scientific field belonging to food microbiology; it
is aimed at developing mathematical models that account for the effect of intrinsic and …

Historically, the ability of foods to support the growth of spoilage organisms and food-borne
pathogens has been assessed by inoculating a food with an organism of interest, and …

Predictive food microbiology essentially aims at the quantification of the microbial ecology in
foods by means of mathematical models. 1 These models can then be used to predict food …

Traditionally, microbiologists have attempted to understand food preservation via challenge
tests, the differences between the microbiology of the initial and stored product being …

Abstract Description of microbial cell (population) behavior as influenced by dynamically
changing environmental conditions intrinsically needs dynamic mathematical models. In the …

Highlights•Predictive modeling software, assisting food safety decision-making, has been
developed.•Stochastic models allow the description of strain and single-cell variability.• …

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