Abstract:
:Modelling and simulation of microbial dynamics as a function of processing, transportation and storage conditions is a useful tool to improve microbial food safety and quality. The goal of this research is to improve an existing methodology for building mechanistic predictive models based on the environmental conditions. The effect of environmental conditions on microbial dynamics is often described by combining the separate effects in a multiplicative way (gamma concept). This idea was extended further in this work by including the effects of the lag and stationary growth phases on microbial growth rate as independent gamma factors. A mechanistic description of the stationary phase as a function of pH was included, based on a novel class of models that consider product inhibition. Experimental results on Escherichia coli growth dynamics indicated that also the parameters of the product inhibition equations can be modelled with the gamma approach. This work has extended a modelling methodology, resulting in predictive models that are (i) mechanistically inspired, (ii) easily identifiable with a limited work load and (iii) easily extended to additional environmental conditions.
journal_name
Food Microbioljournal_title
Food microbiologyauthors
Akkermans S,Van Impe JFdoi
10.1016/j.fm.2017.12.007subject
Has Abstractpub_date
2018-06-01 00:00:00pages
214-219eissn
0740-0020issn
1095-9998pii
S0740-0020(17)30979-6journal_volume
72pub_type
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