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 first order kinetic model, the Buchanan model and Cerf's model, can model a linear
survival curve, a survival curve with a shoulder and a survival curve with a tailing …

Predictive Microbiology (PM) deals with the mathematical modeling of microorganisms in
foods for different applications (challenge test, evaluation of microbiological shelf life …

The first-order kinetics for microbial inactivation was derived more than 100 years ago and is
still used, although more and more researchers are aware of very common non-linear …

In this paper, a modified Weibull model is proposed to fit microbial survival curves. This
model can incorporate shoulder and/or tailing phenomena if they are encountered. We aim …

Predictive microbiology is an area of applied research in food science that uses
mathematical models to predict the changes in the population of pathogenic or spoilage …

The heat inactivation of microbial spores and the mortality of vegetative cells exposed to
heat or a hostile environment have been traditionally assumed to be governed by first-order …

This contribution considers predictive microbiology in the context of the Food Micro 2002
theme,“Microbial adaptation to changing environments”. To provide a reference point, the …

Occasionally, experimental survival curves of micro-organisms exposed to a lethal agent
have a flat region and traditionally it has been interpreted as evidence of the existence of a …

Presenting a novel view of the quantitative modeling of microbial growth and inactivation
patterns in food, water, and biosystems, Advanced Quantitative Microbiology for Foods and …