Predictive food microbiology: A probabilistic approach

B.M. Nicolaï and J.F. Van Impe

Mathematics and Computers in Simulation (MATCOM), 1996, vol. 42, issue 2, 287-292

Abstract: An existing mathematical model for microbial growth and inactivation in dynamically changing temperature conditions has been modified to explain the experimentally observed variability between replicate growth curves. The model incorporates a random variable parameter representing the random physiological state of the inoculum. The model is validated using experimental growth data which were obtained in time-varying temperature conditions. It is shown by Monte Carlo analyses that broad confidence bands are associated with the model predictions.

Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:42:y:1996:i:2:p:287-292

DOI: 10.1016/0378-4754(95)00129-8

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