Literature DB >> 11397133

A parallel study on bacterial growth and inactivation.

J Baranyi1, C Pin.   

Abstract

Pure stochastic birth process models are used to establish the connection between the traditional food microbiology concept of bacterial lag period, before the exponential growth, and the distribution of the lag times of individual cells. In a parallel way, similar study is carried out on the connection between the "shoulder" period, before the exponential decay, and the distribution of the survival times of individual cells. Formulae are derived to calculate the parameters of the growth/survival curves from the distributions of the respective parameters of individual cells. It is shown that, in some aspects, analogy, in some aspects fundamental difference exists between growth and survival modelling. Copyright 2001 Academic Press.

Mesh:

Year:  2001        PMID: 11397133     DOI: 10.1006/jtbi.2001.2312

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  15 in total

1.  Observing growth and division of large numbers of individual bacteria by image analysis.

Authors:  A Elfwing; Y LeMarc; J Baranyi; A Ballagi
Journal:  Appl Environ Microbiol       Date:  2004-02       Impact factor: 4.792

2.  Heterogeneity of times required for germination and outgrowth from single spores of nonproteolytic Clostridium botulinum.

Authors:  Sandra C Stringer; Martin D Webb; Susan M George; Carmen Pin; Michael W Peck
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

3.  Use of stochastic models to assess the effect of environmental factors on microbial growth.

Authors:  José Miguel Ponciano; Frederik P J Vandecasteele; Thomas F Hess; Larry J Forney; Ronald L Crawford; Paul Joyce
Journal:  Appl Environ Microbiol       Date:  2005-05       Impact factor: 4.792

4.  Use of optical density detection times to assess the effect of acetic acid on single-cell kinetics.

Authors:  A Métris; S M George; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2006-09-01       Impact factor: 4.792

5.  Kinetics of single cells: observation and modeling of a stochastic process.

Authors:  Carmen Pin; József Baranyi
Journal:  Appl Environ Microbiol       Date:  2006-03       Impact factor: 4.792

6.  Single-cell and population lag times as a function of cell age.

Authors:  Carmen Pin; József Baranyi
Journal:  Appl Environ Microbiol       Date:  2008-02-22       Impact factor: 4.792

7.  Age-dependent stochastic models for understanding population fluctuations in continuously cultured cells.

Authors:  Evgeny B Stukalin; Ivie Aifuwa; Jin Seob Kim; Denis Wirtz; Sean X Sun
Journal:  J R Soc Interface       Date:  2013-06-12       Impact factor: 4.118

8.  Estimating risk from small inocula by using population growth parameters.

Authors:  P K Malakar; G C Barker
Journal:  Appl Environ Microbiol       Date:  2009-07-31       Impact factor: 4.792

9.  Modeling the variability of single-cell lag times for Listeria innocua populations after sublethal and lethal heat treatments.

Authors:  A Métris; S M George; B M Mackey; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2008-09-26       Impact factor: 4.792

10.  Influence of environmental stress on distributions of times to first division in Escherichia coli populations, as determined by digital-image analysis of individual cells.

Authors:  Gordon W Niven; Jennifer S Morton; Tamara Fuks; Bernard M Mackey
Journal:  Appl Environ Microbiol       Date:  2008-04-18       Impact factor: 4.792

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