Literature DB >> 25665664

Monod's bacterial growth model revisited.

J R Lobry1, J P Flandrois, G Carret, A Pave.   

Abstract

An attempt to justify Monod's bacterial growth model is presented. The justification is based on a mechanistic approach to growth which leads to a differential equation with delay and then to Monod's model. An unexpected increase of parameter K(s) with μm is predicted by the theory. A survey of literature shows that this effect is present in a large majority of published data.

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Year:  1992        PMID： 25665664     DOI： 10.1007/BF02458623

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN： 0092-8240            Impact factor:   1.758


  16 in total

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Authors:  G KNOWLES; A L DOWNING; M J BARRETT
Journal:  J Gen Microbiol       Date:  1965-02

2.  Modeling of the bacterial growth curve.

Authors:  M H Zwietering; I Jongenburger; F M Rombouts; K van 't Riet
Journal:  Appl Environ Microbiol       Date:  1990-06       Impact factor: 4.792

3.  On the Rate of Growth of the Population of the United States since 1790 and Its Mathematical Representation.

Authors:  R Pearl; L J Reed
Journal:  Proc Natl Acad Sci U S A       Date:  1920-06       Impact factor: 11.205

4.  A Note on the Kinetics of Enzyme Action.

Authors:  G E Briggs; J B Haldane
Journal:  Biochem J       Date:  1925       Impact factor: 3.857

5.  Slope of the Monod equation as an indicator of advantage in nutrient competition.

Authors:  F P Healey
Journal:  Microb Ecol       Date:  1980-12       Impact factor: 4.552

6.  Mathematical modelling of bacterial growth at subinhibitory levels of aminoglycosides.

Authors:  S Comby; J P Flandrois; G Carret; C Pichat
Journal:  Ann Inst Pasteur Microbiol       Date:  1988 Sep-Oct

7.  Two approaches to modeling kinetics of biodegradation by growing cells and application of a two-compartment model for mineralization kinetics in sewage.

Authors:  S Simkins; R Mukherjee; M Alexander
Journal:  Appl Environ Microbiol       Date:  1986-06       Impact factor: 4.792

8.  Use of the Malthus Microbial Growth Analyser to study the post antibiotic effect of antibiotics.

Authors:  I M Gould; A C Jason; K Milne
Journal:  J Antimicrob Chemother       Date:  1989-10       Impact factor: 5.790

9.  The effect of sodium chloride and temperature on the rate and extent of growth of Clostridium botulinum type A in pasteurized pork slurry.

Authors:  A M Gibson; N Bratchell; T A Roberts
Journal:  J Appl Bacteriol       Date:  1987-06

Review 10.  Deciphering death: a commentary on Gompertz (1825) 'On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies'.

Authors:  Thomas B L Kirkwood
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-04-19       Impact factor: 6.237
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  3 in total

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Journal:  Microbiol Mol Biol Rev       Date:  1998-09       Impact factor: 11.056

2.  Incorporating prior knowledge improves detection of differences in bacterial growth rate.

Authors:  Lydia M Rickett; Nick Pullen; Matthew Hartley; Cyril Zipfel; Sophien Kamoun; József Baranyi; Richard J Morris
Journal:  BMC Syst Biol       Date:  2015-09-21

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Authors:  Li Cao; Yue Gao; Xue-Zhen Wang; Guang-Yuan Shu; Ya-Nan Hu; Zong-Ping Xie; Wei Cui; Xiao-Peng Guo; Xiang Zhou
Journal:  Front Bioeng Biotechnol       Date:  2021-06-16
  3 in total

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