Literature DB >> 17196279

A study of the Gamma hypothesis: predictive modelling of the growth and inhibition of Enterobacter sakazakii.

Ronald J W Lambert1, Eva Bidlas.   

Abstract

Although the temperature growth profile of the opportunistic pathogen Enterobacter sakazakii is known, few other environmental factors affecting growth have been analysed. Using a model based on the Gamma hypothesis--that antimicrobial factors in mixtures exert independent effects--a range of weak acids (lactic, acetic, propionic, citric, sorbic and benzoic), pH, salt and temperature and some of their combinations were examined. The weak acids examined inhibited principally with the acid-form of the weak acid, however, benzoic, sorbic and propionic acids also displayed an inhibitory contribution from their respective anionic forms. In all cases pH could be considered an independent inhibiting factor. The minimum pH and maximum salt concentration for growth were calculated to be 3.89 and 9.1% respectively. In combination, there was no suggestion of any interactive effect between them. Studies performed on combinations of Na acetate/pH between 25 and 41 degrees C showed that temperature did not affect the relative inhibitory effects of the weak acid/pH mixtures. The results of this study support the Gamma hypothesis suggesting that there are no synergistic interactions between inhibitory factors and that growth can be predicted from a library of known effects. More importantly to the food industry, the results can be used to design good quality shelf-life challenge tests by reducing the number of studies required.

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Year:  2006        PMID: 17196279     DOI: 10.1016/j.ijfoodmicro.2006.10.024

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


  3 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.  Comparing nonsynergy gamma models and interaction models to predict growth of emetic Bacillus cereus for combinations of pH and water activity values.

Authors:  Elisabeth G Biesta-Peters; Martine W Reij; Marcel H Zwietering; Leon G M Gorris
Journal:  Appl Environ Microbiol       Date:  2011-06-24       Impact factor: 4.792

3.  Comparison of two optical-density-based methods and a plate count method for estimation of growth parameters of Bacillus cereus.

Authors:  Elisabeth G Biesta-Peters; Martine W Reij; Han Joosten; Leon G M Gorris; Marcel H Zwietering
Journal:  Appl Environ Microbiol       Date:  2010-01-15       Impact factor: 4.792

  3 in total

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