The estimation of model parameters with high precision is of major importance in
mathematical predictions. If a mathematical model is properly chosen and if the primary …

Predictive microbiology emerges more and more as a rational quantitative framework for
predicting and understanding microbial evolution in food products. During the mathematical …

It is generally known that accurate model building, ie, proper model structure selection and
reliable parameter estimation, constitutes an essential matter in the field of predictive …

Microbial inactivation often follows a sigmoidal kinetic behaviour, with an initial lag phase,
followed by a maximum inactivation rate period and tending to a final asymptotic value …

Kinetic models are nowadays a basic tool to ensure food safety. Most models used in
predictive microbiology have model parameters, whose precision is crucial to provide …

In this paper, optimal experimental design is applied for the characterization of the microbial
inactivation of Listeria monocytogenes under non-isothermal conditions, modelled by the …

The potential of mathematical models describing the microbial behavior during food
processing and storage largely depends on their predictive capabilities and, in this concern …

Isothermal microbial survival curves are usually described by either linear or nonlinear time-
dependent models, from which non-isothermal survival curves can be generated if the …

Food processes should be designed to provide an adequate margin of safety against
microbiological risk of food poisoning and food spoilage throughout shelf life. In this field, the …

For the design of thermal processes, the decimal reduction times (D-values) of target
organisms can be used. However, many factors influence the D-value, like inherent …