Modeling of the bacterial growth curve.

M.H. Zwietering, I. Jongenburger, F.M. Rombouts, K. van 't Riet

    Research output: Contribution to journalArticleAcademicpeer-review

    2627 Citations (Scopus)

    Abstract

    Several sigmoidal functions (logistic, Gompertz, Richards, Schnute, and Stannard) were compared to describe a bacterial growth curve. They were compared statistically by using the model of Schnute, which is a comprehensive model, encompassing all other models. The t test and the F test were used. With the t test, confidence intervals for parameters can be calculated and can be used to distinguish between models. In the F test, the lack of fit of the models is compared with the measuring error. Moreover, the models were compared with respect to their ease of use. All sigmoidal functions were modified so that they contained biologically relevant parameters. The models of Richards, Schnute, and Stannard appeared to be basically the same equation. In the cases tested, the modified Gompertz equation was statistically sufficient to describe the growth data of Lactobacillus plantarum and was easy to use.
    Original languageEnglish
    Pages (from-to)1875-1881
    JournalApplied and Environmental Microbiology
    Volume56
    Issue number6
    Publication statusPublished - 1990

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