Literature DB >> 1894580

Modelling the effect of pH, acidulant and temperature on the growth rate of Yersinia enterocolitica.

M R Adams1, C L Little, M C Easter.   

Abstract

Growth of two pathogenic and one environmental serotype of Yersinia enterocolitica under acidic conditions and at 4 and 25 degrees C was investigated. At both temperatures the maximum growth inhibitory pH depended on the acidulant used and was in the order acetic greater than lactic greater than citric greater than sulphuric. At the lower temperature the maximum growth inhibitory pH was 0.3-0.5 pH units higher than at 25 degrees C. No difference was observed between the behaviour of pathogenic and environmental serotypes in this respect. Measurement of growth at a number of sub-optimal temperatures and pH values showed that the variation of growth rate with temperature could be represented by a square root plot. The effect of different pH values could be incorporated into the model by replacing the regression coefficient b by its relationship with pH. Values of maximum growth inhibitory pH derived from the model were in good agreement with experimental values with the exception of acetic acid.

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Year:  1991        PMID: 1894580

Source DB:  PubMed          Journal:  J Appl Bacteriol        ISSN: 0021-8847


  9 in total

1.  Comparing nonsynergistic gamma models with interaction models to predict growth of emetic Bacillus cereus when using combinations of pH and individual undissociated acids as growth-limiting factors.

Authors:  Elisabeth G Biesta-Peters; Martine W Reij; Leon G M Gorris; Marcel H Zwietering
Journal:  Appl Environ Microbiol       Date:  2010-07-16       Impact factor: 4.792

2.  Convenient Model To Describe the Combined Effects of Temperature and pH on Microbial Growth.

Authors:  L Rosso; J R Lobry; S Bajard; J P Flandrois
Journal:  Appl Environ Microbiol       Date:  1995-02       Impact factor: 4.792

3.  Modelling Bacterial Growth of Lactobacillus curvatus as a Function of Acidity and Temperature.

Authors:  T Wijtzes; J C de Wit; R Van't; M H Zwietering
Journal:  Appl Environ Microbiol       Date:  1995-07       Impact factor: 4.792

4.  Temperature-dependent growth kinetics of Escherichia coli ML 30 in glucose-limited continuous culture.

Authors:  K Kovárová; A J Zehnder; T Egli
Journal:  J Bacteriol       Date:  1996-08       Impact factor: 3.490

5.  Development and evaluation of a model predicting the survival of Escherichia coli O157:H7 NCTC 12900 in homemade eggplant salad at various temperatures, pHs, and oregano essential oil concentrations.

Authors:  P N Skandamis; G J Nychas
Journal:  Appl Environ Microbiol       Date:  2000-04       Impact factor: 4.792

6.  Modelling the growth rate of Escherichia coli as a function of pH and lactic acid concentration.

Authors:  K A Presser; D A Ratkowsky; T Ross
Journal:  Appl Environ Microbiol       Date:  1997-06       Impact factor: 4.792

7.  Physicochemical parameters for growth of the sea ice bacteria Glaciecola punicea ACAM 611(T) and Gelidibacter sp. strain IC158.

Authors:  D S Nichols; A R Greenhill; C T Shadbolt; T Ross; T A McMeekin
Journal:  Appl Environ Microbiol       Date:  1999-08       Impact factor: 4.792

8.  Effects of orange juice pH on survival, urease activity and DNA profiles of Yersinia enterocolitica and Yersinia pseudotuberculosis stored at 4 degree C.

Authors:  Woubit Abdela; Martha Graham; Habtemariam Tsegaye; Samuel Temesgen; Teshome Yehualaeshet
Journal:  J Food Saf       Date:  2011-11       Impact factor: 1.953

9.  Statistical approach for comparison of the growth rates of five strains of Staphylococcus aureus.

Authors:  E Dengremont; J M Membré
Journal:  Appl Environ Microbiol       Date:  1995-12       Impact factor: 4.792

  9 in total

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