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An extension of a logistic model for microbial kinetics

  • University of North Carolina at Pembroke

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

In contrast to the traditional logistic model, a series of asymmetrical models have been proposed for modeling bacterial growth. These models are similar to the logistic model for the lag-phase and exponential phase of the population growth, but quite different in the stationary phase-the growth becomes remarkably slower after the inflection point. At this point, limiting factors within the population such as competition or environmental stress inhibit further exponential growth. Moreover, models as variations of the traditional exponential model are also proposed. The models presented demonstrate more general patterns and representative properties, from which relevant algorithms can be developed for calculating the population specific growth rate occurring in the exponential phase.

Original languageEnglish
Pages (from-to)80-99
Number of pages20
JournalAdvances in Systems Science and Applications
Volume13
Issue number1
StatePublished - 2013

Keywords

  • Carrying capacity
  • Exponential growth
  • Logistic growth
  • Maclaurin series
  • Point of inflection
  • Specific growth rate

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