Mathematical frameworks for modeling Listeria cross-contamination in food-processing plants

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22 Scopus citations

Abstract

The possibility of modeling the cross-contamination of Listeria species, total Listeria monocytogenes, or specific L. monocytogenes strains using a quantitative mathematical model using Monte Carlo simulation techniques is proposed. This article illustrates this approach using 2 different models: one that tracks L. monocytogenes number and prevalence for 4 different strains (Model I) and one that tracks only prevalence for a single strain (Model II). These models have been developed to provide a starting framework for predictive modelers and scientists studying L. monocytogenes to begin research together with the ultimate goal of understanding and controlling L. monocytogenes in food-processing plants.

Original languageEnglish (US)
Pages (from-to)R155-R159
JournalJournal of Food Science
Volume69
Issue number6
DOIs
StatePublished - Aug 2004

All Science Journal Classification (ASJC) codes

  • Food Science

Keywords

  • Listeria monocytogenes
  • Modeling
  • Processing plant
  • Risk assessment
  • Simulation

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