Literature DB >> 8060794

Application of a log-logistic model to describe the survival of Yersinia enterocolitica at sub-optimal pH and temperature.

C L Little1, M R Adams, W A Anderson, M B Cole.   

Abstract

A log-logistic model previously used to describe the thermal inactivation of microorganisms has been applied to predict accurately the survival of Yersinia enterocolitica under conditions of sub-optimal temperatures (0-23 degrees C) and growth inhibitory pH values for a number of different acidulants. Predictions from the model were also compared to observed survival times of Y. enterocolitica in mayonnaise and were found to be in excellent agreement. However in yoghurt the model overestimated survival of this organism at both 20 and 4 degrees C but would 'fail safe' if used for predictive purposes. The discrepancy in yoghurt is discussed.

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Year:  1994        PMID: 8060794     DOI: 10.1016/0168-1605(94)90008-6

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


  3 in total

1.  General model, based on two mixed weibull distributions of bacterial resistance, for describing various shapes of inactivation curves.

Authors:  L Coroller; I Leguerinel; E Mettler; N Savy; P Mafart
Journal:  Appl Environ Microbiol       Date:  2006-10       Impact factor: 4.792

2.  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

3.  Modeling the impact of high temperatures on microalgal viability and photosynthetic activity.

Authors:  Quentin Béchet; Martin Laviale; Nicolas Arsapin; Hubert Bonnefond; Olivier Bernard
Journal:  Biotechnol Biofuels       Date:  2017-05-26       Impact factor: 6.040

  3 in total

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