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Meta‐Analysis of Food Safety Information Based on a Combination of a Relational Database and a Predictive Modeling Tool

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  • Michèle Vialette
  • Anthony Pinon
  • Benoît Leporq
  • Catherine Dervin
  • Jeanne‐Marie Membré

Abstract

The management of microbial risk in food products requires the ability to predict growth kinetics of pathogenic microorganisms in the event of contamination and growth initiation. Useful data for assessing these issues may be found in the literature or from experimental results. However, the large number and variety of data make further development difficult. Statistical techniques, such as meta‐analysis, are then useful to realize synthesis of a set of distinct but similar experiences. Moreover, predictive modeling tools can be employed to complete the analysis and help the food safety manager to interpret the data. In this article, a protocol to perform a meta‐analysis of the outcome of a relational database, associated with quantitative microbiology models, is presented. The methodology is illustrated with the effect of temperature on pathogenic Escherichia coli and Listeria monocytogenes, growing in culture medium, beef meat, and milk products. Using a database and predictive models, simulations of growth in a given product subjected to various temperature scenarios can be produced. It is then possible to compare food products for a given microorganism, according to its growth ability in these products, and to compare the behavior of bacteria in a given foodstuff. These results can assist decisions for a variety of questions on food safety.

Suggested Citation

  • Michèle Vialette & Anthony Pinon & Benoît Leporq & Catherine Dervin & Jeanne‐Marie Membré, 2005. "Meta‐Analysis of Food Safety Information Based on a Combination of a Relational Database and a Predictive Modeling Tool," Risk Analysis, John Wiley & Sons, vol. 25(1), pages 75-83, February.
    • Handle: RePEc:wly:riskan:v:25:y:2005:i:1:p:75-83
    DOI: 10.1111/j.0272-4332.2005.00568.x
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    Cited by:

    1. Dominic Mancini & Gregmar I. Galinato, 2008. "Was It Something I Ate? Implementation of the FDA Seafood HACCP Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(1), pages 28-41.
    2. K. Francois & F. Devlieghere & M. Uyttendaele & J. Debevere, 2006. "Risk Assessment of Listeria monocytogenes: Impact of Individual Cell Variability on the Exposure Assessment Step," Risk Analysis, John Wiley & Sons, vol. 26(1), pages 105-114, February.

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