Current trends in predictive modelling of microbial lag phenomena

I A Swinnen; K Bernaerts; E J Dens; A H Geeraerd; J F Van Impe

Current trends in predictive modelling of microbial lag phenomena

Meded Rijksuniv Gent Fak Landbouwkd Toegep Biol Wet. 2001;66(3b):495-502.

Authors

I A Swinnen¹, K Bernaerts, E J Dens, A H Geeraerd, J F Van Impe

Affiliation

¹ BioTeC - Bioprocess Technology and Control, Katholieke Universiteit Leuven, Kasteelpark Arenberg 22, B-3001 Heverlee.

PMID: 15954644

Abstract

This paper summarises recent trends in predictive modelling of microbial lag phenomena. The lag phase is approached from both a qualitative and quantitative point of view. Major modelling approaches and experimental results are critically assessed. This review mainly focuses on the influence of temperature and culture history on the lag phase during growth of bacteria.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Bacteria / growth & development*
Colony Count, Microbial
Food Microbiology
Kinetics
Models, Biological*
Predictive Value of Tests
Temperature