Literature DB >> 7577358

Mathematics of predictive food microbiology.

J Baranyi1, T A Roberts.   

Abstract

Commonly encountered problems related to modelling bacterial growth in food are analysed from a mathematical point of view. Modelling techniques and terms, some misused, are discussed and an attempt is made to clarify how, and under what conditions, they may be used. A theoretical framework is given to provide a basis in which mathematical models having been used in predictive microbiology can be embedded. By using several simplifying idealizations as a compromise between the complexity of the biological system and the available data, a practically usable model becomes available.

Mesh:

Year:  1995        PMID: 7577358     DOI: 10.1016/0168-1605(94)00121-l

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  46 in total

1.  Energy-based dynamic model for variable temperature batch fermentation by Lactococcus lactis.

Authors:  Daniel P Dougherty; Frederick Breidt; Roger F McFeeters; Sharon R Lubkin
Journal:  Appl Environ Microbiol       Date:  2002-05       Impact factor: 4.792

2.  Development of a structured model for batch cultures of lactic acid bacteria.

Authors:  M A Del Nobile; C Altieri; M R Corbo; M Sinigaglia; E La Notte
Journal:  J Ind Microbiol Biotechnol       Date:  2003-07-09       Impact factor: 3.346

3.  Lag phase of Salmonella enterica under osmotic stress conditions.

Authors:  K Zhou; S M George; A Métris; P L Li; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2010-12-30       Impact factor: 4.792

4.  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

5.  Estimation of Staphylococcus aureus growth parameters from turbidity data: characterization of strain variation and comparison of methods.

Authors:  R Lindqvist
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

6.  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

7.  Estimating bacterial growth parameters by means of detection times.

Authors:  J Baranyi; C Pin
Journal:  Appl Environ Microbiol       Date:  1999-02       Impact factor: 4.792

8.  Fecal bacteroidales diversity and decay in response to variations in temperature and salinity.

Authors:  Christopher J Schulz; Gary W Childers
Journal:  Appl Environ Microbiol       Date:  2011-01-28       Impact factor: 4.792

9.  Modeling of the competitive growth of Listeria monocytogenes and Lactococcus lactis in vegetable broth.

Authors:  F Breidt; H P Fleming
Journal:  Appl Environ Microbiol       Date:  1998-09       Impact factor: 4.792

10.  Population changes and growth modeling of Salmonella enterica during alfalfa seed germination and early sprout development.

Authors:  Won-Il Kim; Sang Don Ryu; Se-Ri Kim; Hyun-Ju Kim; Seungdon Lee; Jinwoo Kim
Journal:  Food Sci Biotechnol       Date:  2018-06-14       Impact factor: 2.391

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