Modelling the effect of pH, acidulant and temperature on the growth rate of Yersinia enterocolitica
- PMID: 1894580
Modelling the effect of pH, acidulant and temperature on the growth rate of Yersinia enterocolitica
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.
Similar articles
-
Acetic, lactic and citric acids and pH inhibition of Listeria monocytogenes Scott A and the effect on intracellular pH.J Appl Bacteriol. 1993 May;74(5):515-20. J Appl Bacteriol. 1993. PMID: 8486558
-
Inactivation kinetics of Yersinia enterocolitica by citric and lactic acid at different temperatures.Int J Food Microbiol. 2005 Sep 15;103(3):251-7. doi: 10.1016/j.ijfoodmicro.2004.11.036. Int J Food Microbiol. 2005. PMID: 16099310
-
The influence of pH, temperature and organic acids on the initiation of growth of Yersinia enterocolitica.J Appl Bacteriol. 1990 Sep;69(3):390-7. doi: 10.1111/j.1365-2672.1990.tb01529.x. J Appl Bacteriol. 1990. PMID: 2246144
-
Acid tolerance in Salmonella typhimurium induced by culturing in the presence of organic acids at different growth temperatures.Food Microbiol. 2010 Feb;27(1):44-9. doi: 10.1016/j.fm.2009.07.015. Epub 2009 Jul 24. Food Microbiol. 2010. PMID: 19913691
-
Modelling the combined effect of temperature and pH on the rate coefficient for bacterial growth.Int J Food Microbiol. 1994 Nov;23(3-4):295-303. doi: 10.1016/0168-1605(94)90158-9. Int J Food Microbiol. 1994. PMID: 7873332 Review.
Cited by
-
Modelling Bacterial Growth of Lactobacillus curvatus as a Function of Acidity and Temperature.Appl Environ Microbiol. 1995 Jul;61(7):2533-9. doi: 10.1128/aem.61.7.2533-2539.1995. Appl Environ Microbiol. 1995. PMID: 16535069 Free PMC article.
-
The Use of Predictive Microbiology for the Prediction of the Shelf Life of Food Products.Foods. 2023 Dec 13;12(24):4461. doi: 10.3390/foods12244461. Foods. 2023. PMID: 38137265 Free PMC article. Review.
-
Microbiological safety of aged meat.EFSA J. 2023 Jan 19;21(1):e07745. doi: 10.2903/j.efsa.2023.7745. eCollection 2023 Jan. EFSA J. 2023. PMID: 36698487 Free PMC article.
-
Statistical approach for comparison of the growth rates of five strains of Staphylococcus aureus.Appl Environ Microbiol. 1995 Dec;61(12):4389-95. doi: 10.1128/aem.61.12.4389-4395.1995. Appl Environ Microbiol. 1995. PMID: 8534102 Free PMC article.
-
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.Appl Environ Microbiol. 2010 Sep;76(17):5791-801. doi: 10.1128/AEM.00355-10. Epub 2010 Jul 16. Appl Environ Microbiol. 2010. PMID: 20639365 Free PMC article.