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dc.contributor.authorArroyo López, Francisco Noé-
dc.contributor.authorBautista-Gallego, J.-
dc.contributor.authorValero Díaz, Antonio-
dc.contributor.authorGarcía-Gimeno, R. M.-
dc.contributor.authorGarrido Fernández, A.-
dc.identifierisbn: 978-1-118-47460-0-
dc.identifier.citationPractical food safety: comtemporany issues and future directions: 517- 534 (2014)-
dc.description.abstractFoodborne pathogens represent a major concern for the food industry, which needs to ensure that products are safe for consumers. Predictive microbiology is a multidisciplinary area of food mi crobiology, which is devoted to studying and predicting, by means of mathematical models, the cffects of extrinsic factors (temperature, salt, preservatives, etc.) on microbial behaviour in foods. The present chapter is an overview of the successive steps to follow for the successful development and implementation of a predictive model, as well as the most common types of secondary mod­els used in food microbiology. The chapter continues with a general review of the most powerful predictive microbiological tools (tertiary models) that are currently available on the worldwide web for foodborne patho­gens, and concludes by commenting on the direct implications and applications of predictive microbiology in food safety and microbial risk assessments.-
dc.description.sponsorshipFunding was provided by the European Project (VII Framework Program: KBBE 22738 BASELINE), the Spanish Government (projects AGL2009-07436/ALI, AGL2010-l549 and AGL2010-15529 partially financed by European regional development funds, ERDF) and Junta de Andalucía (Excellence Project CTS-08-03620 and through financial support to group AGR-125 and AGR-170). J. Bautista-Gallego and F.N. Arroyo-López thank the ltalian and Spanish governments for their Assegno di Ricerca and Ramón y Cajal postdoctoral research contracts, respectively.-
dc.titlePredictive Microgiology: a valuable tool in food safety and microbiological risk assessment-
dc.typeCapítulo de libro-
dc.description.versionPeer Reviewed-
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