Literature DB >> 15678939

Improvement of new logistic model for bacterial growth.

Hiroshi Fujikawa1, Akemi Kai, Satoshi Morozumi.   

Abstract

Recently Fujikawa et al. [J. Food Hyg. Soc. Japan, 44, 155-160 (2003)] developed a new logistic model for bacterial growth. In the present study, an adjustment factor in the model was improved. The improved model could successfully describe growth curves of Escherichia coli and Salmonella in liquid media. In particular, the model could describe the linear growth at the early logarithmic phase more accurately than the previous model, being similar in this respect to the Baranyi model. However, the improved model more accurately predicted the rate constant of growth and the duration of the lag time as compared with the Baranyi model. These results showed that the improved model has the potential to successfully predict microbial growth.

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Year:  2004        PMID: 15678939     DOI: 10.3358/shokueishi.45.250

Source DB:  PubMed          Journal:  Shokuhin Eiseigaku Zasshi        ISSN: 0015-6426            Impact factor:   0.464


  3 in total

1.  Modeling surface growth of Escherichia coli on agar plates.

Authors:  Hiroshi Fujikawa; Satoshi Morozumi
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

2.  A parametric logistic equation with light flux and medium concentration for cultivation planning of microalgae.

Authors:  Kazuki Kambe; Yasutaka Hirokawa; Asuka Koshi; Yutaka Hori
Journal:  J R Soc Interface       Date:  2022-06-15       Impact factor: 4.293

3.  Optimization of immunoglobulin substitution therapy by a stochastic immune response model.

Authors:  Marc Thilo Figge
Journal:  PLoS One       Date:  2009-05-28       Impact factor: 3.240

  3 in total

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