Using predictive models and quantitative microbial risk assessment to understand and manage food safety risks

Autores/as

  • Donald Schaffner

Resumen

The purpose of this article is to provide an overview regarding understanding and managing food safety risks using predictive food microbiology and quantitative microbial risk assessment.  Three case studies will be used to aid in the presentation of these concepts.  Those case studies are: the use of predictive models for Salmonella growth in raw chicken to assess the risks posed by holding foods out of temperature control; the application of quantitative microbial risk assessment to a product potentially contaminated with Salmonella containing peanut paste; and the use of Enterobacteriaceae as sanitation indicator organisms for Salmonella on food plant surfaces.

Biografía del autor/a

Donald Schaffner

Ph.D. is the Extension Specialist in Food Science at Rutgers University. His research interests include quantitative microbial risk assessment and predictive food microbiology. He has served on expert committees for the National Academy of Sciences, WHO and FAO. Dr. Schaffner is an editor for the journal Applied and Environmental Microbiology. Dr. Schaffner is active in several scientific associations including IAFP, SRA, ASM and IFT. He holds a B.S. in Food Science from Cornell and a M.S. and Ph.D. in Food Science and Technology from the University of Georgia.Dr. Schaffner has been committed to the goals of IAFP since joining the Association in 2001. He served on the Journal of Food Protection Editorial Board for three years (2010–2013) and was an active member of the Organizing Committee for the European Symposium on Food Safety (2007–2008) and for the IAFP 2013 Program Committee

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Publicado

2013-04-09

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