title: Current trends in predictive modelling of microbial lag phenomena.
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.
authors.affiliation: BioTeC - Bioprocess Technology and Control, Katholieke Universiteit Leuven, Kasteelpark Arenberg 22, B-3001 Heverlee.
authors.forename: I A
authors.initials: IA
authors.lastname: Swinnen
authors.forename: K
authors.initials: K
authors.lastname: Bernaerts
authors.forename: E J
authors.initials: EJ
authors.lastname: Dens
authors.forename: A H
authors.initials: AH
authors.lastname: Geeraerd
authors.forename: J F
authors.initials: JF
authors.lastname: Van Impe
mesh_terms: D001419:Bacteria / Q000254:growth & development*; D015169:Colony Count, Microbial; D005516:Food Microbiology; D007700:Kinetics; D008954:Models, Biological; D011237:Predictive Value of Tests; D013696:Temperature