A new member of the family of growth models described by Baranyi et al.(1993a) is
introduced in which the physiological state of the cells is represented by a single variable …

Predictive microbiology is based upon the premise that the responses of populations of
microorganisms to environmental factors are reproducible, and that by considering …

This contribution focuses on the presentation of GInaFiT (Geeraerd and Van Impe
Inactivation Model Fitting Tool), a freeware Add-inn for Microsoft® Excel aiming at bridging …

The classical concept of D and z values, established for sterilisation processes, is unable to
deal with the typical non-loglinear behaviour of survivor curves occurring during the mild …

The aim of this study was to evaluate the suitability of several mathematical functions for
describing microbial growth curves. The nonlinear functions used were: three-phase linear …

Predictive food microbiology (PFM) is an emerging multidisciplinary area of food
microbiology. It encompasses such disciplines as mathematics, microbiology, engineering …

Predictive food microbiology is a field of study that combines elements of microbiology,
mathematics, and statistics to develop models that describe and predict the growth or …

The first state-of-the-art review of this dynamic field in a decade, Modeling Microbial
Responses in Foods provides the latest information on techniques in mathematical …

In 2002, over a million refrigerated road vehicles, 400,000 refrigerated containers and many
thousands of other forms of refrigerated transport systems are used to distribute chilled and …

The need to assure the microbiological safety and quality of increasingly complex food
products has stimulated interest in the use of mathematical modeling to quantify and predict …