This contribution presents the bioinactivation software, which implements functions for the
modelling of isothermal and non-isothermal microbial inactivation. This software offers …

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

In this study dynamic microbial inactivation experiments are exploited for performing
parameter identification of a non-linear microbial model. For that purpose microbial …

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 …

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 …

Ordinary least squares (OLS) one-step regression and the sequential procedure were
applied to estimate the dynamic thermal microbial inactivation parameters of Escherichia …

Traditionally, an organism's heat resistance parameters have been determined from a set of
experimental isothermal survival data. Sometimes, however, even approximating an …

Microbial inactivation is described by a model based on the changing survival probabilities
of individual cells or spores. It is presented in a stochastic and discrete form for small groups …

Highlights•There is no reason to assume the universality of the loglinear survival
model.•Sterility criteria should be based on survival data above the detection level.•Fully …

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 …