Author
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Tamplin, Mark |
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Submitted to: Meeting Abstract
Publication Type: Proceedings Publication Acceptance Date: 10/16/2004 Publication Date: 12/12/2004 Citation: Tamplin, M.L. 2004. Predictive microbiology software tools and databases for meeting food safety performance standards. Proceedings of the U.S. Japan Natural Resource Panel. Abstract p. 379-383. Interpretive Summary: Technical Abstract: There are new regulations requiring food industries to implement post-cook processing interventions that minimize contamination of product and outgrowth of L. monocytogenes in ready-to-eat (RTE) foods. These events have led to changes in company Hazard Analysis and Critical Control Point (HACCP) plans, including the identification of Critical Control Points that prevent more than 1 log growth of L. monocytogenes in the finished product. In the present studies, experiments were designed to collect growth parameter data for L. monocytogenes in RTE ham, to construct predictive models for L. monocytogenes growth, and to compare these data with those in the ComBase database. The resulting models assist the food industry in meeting the new L. monocytogenes RTE performance standards. |
