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Predictive Microbiology in foods / Fernando PÉREZ-RODRÍGUEZ

Public ISBD Titre : Predictive Microbiology in foods Type de document : texte imprimé Auteurs : Fernando PÉREZ-RODRÍGUEZ; Antonio VALERO Editeur : New York : Springer Année de publication : 1984 Importance : 128 p. Présentation : graph. Format : 24 cm Accompagnement : fig. h.t. : 7 f. dépl. ISBN/ISSN/EAN : 978-1-461-45519-6 Prix : 90 F Langues : Français (fre) Catégories : 600 Techniques (Sciences appliquées):664 Technologie des aliments Mots-clés : Food--Microbiology--Mathematical models. Index. décimale : 664 Résumé : "Predictive microbiology is a recent area within food microbiology, which studies the responses of microorganisms in foods to environmental factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and spoilage microorganisms under different combinations of factors. The main goal of predictive models in food science is to assure both food safety and food quality. Predictive models in foods have developed significantly in the last 20 years due to the emergence of powerful computational resources and sophisticated statistical packages. This book presents the concepts, models, most significant advances, and future trends in predictive microbiology. It will discuss the history and basic concepts of predictive microbiology. The most frequently used models will be explained, and the most significant software and databases (e.g., Combase, Sym'Previus) will be reviewed. Quantitative Risk Assessment, which uses predictive modeling to account for the transmission of foodborne pathogens across the food chain, will also be covered."-- Publisher's website. Note de contenu : 1. Predictive microbiology in foods -- 2. Experimental design and data generation -- 3. Predictive models: foundation, types, and development -- 4. Other models and modeling approaches -- 5. Software and data bases: use and application -- 6. Application of predictive models in quantitative risk assessment and risk management -- 7. Future trends and perspectives. Predictive Microbiology in foods [texte imprimé] / Fernando PÉREZ-RODRÍGUEZ; Antonio VALERO . - New York : Springer, 1984 . - 128 p. : graph. ; 24 cm + fig. h.t. : 7 f. dépl.. ISBN : 978-1-461-45519-6 : 90 F Langues : Français (fre) Catégories : 600 Techniques (Sciences appliquées):664 Technologie des aliments Mots-clés : Food--Microbiology--Mathematical models. Index. décimale : 664 Résumé : "Predictive microbiology is a recent area within food microbiology, which studies the responses of microorganisms in foods to environmental factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and spoilage microorganisms under different combinations of factors. The main goal of predictive models in food science is to assure both food safety and food quality. Predictive models in foods have developed significantly in the last 20 years due to the emergence of powerful computational resources and sophisticated statistical packages. This book presents the concepts, models, most significant advances, and future trends in predictive microbiology. It will discuss the history and basic concepts of predictive microbiology. The most frequently used models will be explained, and the most significant software and databases (e.g., Combase, Sym'Previus) will be reviewed. Quantitative Risk Assessment, which uses predictive modeling to account for the transmission of foodborne pathogens across the food chain, will also be covered."-- Publisher's website. Note de contenu : 1. Predictive microbiology in foods -- 2. Experimental design and data generation -- 3. Predictive models: foundation, types, and development -- 4. Other models and modeling approaches -- 5. Software and data bases: use and application -- 6. Application of predictive models in quantitative risk assessment and risk management -- 7. Future trends and perspectives.

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Predictive microbiology in foods / Fernando PÉREZ-RODRÍGUEZ

Public ISBD Titre : Predictive microbiology in foods Type de document : texte imprimé Auteurs : Fernando PÉREZ-RODRÍGUEZ, Auteur; Antonio VALERO, Auteur Editeur : New York : Springer Année de publication : 2013 Importance : vi, 128 p. ill. (some col.) Format : 24cm. ISBN/ISSN/EAN : 978-1-461-45519-6 Note générale : Includes bibliographical references (p. 107-125) and index. Langues : Anglais (eng) Catégories : 600 Techniques (Sciences appliquées):664 Technologie des aliments Mots-clés : Food--Microbiology--Mathematical models. Index. décimale : 664 Résumé : "Predictive microbiology is a recent area within food microbiology, which studies the responses of microorganisms in foods to environmental factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and spoilage microorganisms under different combinations of factors. The main goal of predictive models in food science is to assure both food safety and food quality. Predictive models in foods have developed significantly in the last 20 years due to the emergence of powerful computational resources and sophisticated statistical packages. This book presents the concepts, models, most significant advances, and future trends in predictive microbiology. It will discuss the history and basic concepts of predictive microbiology. The most frequently used models will be explained, and the most significant software and databases (e.g., Combase, Sym'Previus) will be reviewed. Quantitative Risk Assessment, which uses predictive modeling to account for the transmission of foodborne pathogens across the food chain, will also be covered."-- Publisher's website. Note de contenu : 1. Predictive microbiology in foods -- 2. Experimental design and data generation -- 3. Predictive models: foundation, types, and development -- 4. Other models and modeling approaches -- 5. Software and data bases: use and application -- 6. Application of predictive models in quantitative risk assessment and risk management -- 7. Future trends and perspectives. Predictive microbiology in foods [texte imprimé] / Fernando PÉREZ-RODRÍGUEZ, Auteur; Antonio VALERO, Auteur . - [S.l.] : New York : Springer, 2013 . - vi, 128 p. ill. (some col.) ; 24cm.. ISBN : 978-1-461-45519-6 Includes bibliographical references (p. 107-125) and index. Langues : Anglais (eng) Catégories : 600 Techniques (Sciences appliquées):664 Technologie des aliments Mots-clés : Food--Microbiology--Mathematical models. Index. décimale : 664 Résumé : "Predictive microbiology is a recent area within food microbiology, which studies the responses of microorganisms in foods to environmental factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and spoilage microorganisms under different combinations of factors. The main goal of predictive models in food science is to assure both food safety and food quality. Predictive models in foods have developed significantly in the last 20 years due to the emergence of powerful computational resources and sophisticated statistical packages. This book presents the concepts, models, most significant advances, and future trends in predictive microbiology. It will discuss the history and basic concepts of predictive microbiology. The most frequently used models will be explained, and the most significant software and databases (e.g., Combase, Sym'Previus) will be reviewed. Quantitative Risk Assessment, which uses predictive modeling to account for the transmission of foodborne pathogens across the food chain, will also be covered."-- Publisher's website. Note de contenu : 1. Predictive microbiology in foods -- 2. Experimental design and data generation -- 3. Predictive models: foundation, types, and development -- 4. Other models and modeling approaches -- 5. Software and data bases: use and application -- 6. Application of predictive models in quantitative risk assessment and risk management -- 7. Future trends and perspectives.

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