Predictive modeling of microorganisms

LAG and LIP in monotonic growth

Peter Vadasz, Alisa S. Vadasz

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

The variety of models that are currently being used in "Predictive Microbiology" or "Microbial Ecology" aiming at reproducing the growth curve of microorganisms motivates this study. It is widely agreed that no model can reproduce generically and consistently the "LAG Phase" of microorganism growth. To promote the objective of "predictive modeling", we present here a model that was derived from first biological and physical principles, which is shown to reproduce qualitatively as well as quantitatively all typical features captured experimentally in microorganism growth. In particular, this paper focuses on capturing and controlling of the "LAG Phase" a typical phase in microorganisms growth, at the initial growth stages, as well as the inflection point on the "ln curve" of the cell concentration, i.e. a Logarithmic Inflection Point referred here as "LIP". The proposed model also captures the Logistic Growth curve as a special case. Comparison of the solutions obtained from the proposed model with experimental data confirms its quantitative validity, as well as its ability to recover a wide range of qualitative features captured in experiments.

Original languageEnglish (US)
Pages (from-to)257-275
Number of pages19
JournalInternational Journal of Food Microbiology
Volume102
Issue number3
DOIs
StatePublished - Jul 25 2005

Fingerprint

microorganisms
Growth
predictive microbiology
microbial ecology
Microbiology
Ecology
Theoretical Models
developmental stages
cells

Keywords

  • LAG phase
  • LIP
  • Microorganism growth
  • Population dynamics

ASJC Scopus subject areas

  • Food Science
  • Microbiology

Cite this

Predictive modeling of microorganisms : LAG and LIP in monotonic growth. / Vadasz, Peter; Vadasz, Alisa S.

In: International Journal of Food Microbiology, Vol. 102, No. 3, 25.07.2005, p. 257-275.

Research output: Contribution to journalArticle

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