Predictive microbiology in foods
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 microorganism...
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| Glavni autori: | , |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Izdanje: | 1st ed. 2013. |
| Serija: | SpringerBriefs in Food, Health, and Nutrition
5 |
| Online pristup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Bilješka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Predictive Microbiology in Foods, Texte imprimé, 9781461455196 • Predictive Microbiology in Foods, Texte imprimé, 9781461455219 |
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| 100 | 1 | |a Pérez-Rodríguez, Fernando. | |
| 245 | 1 | 0 | |a Predictive microbiology in foods |c by Fernando Pérez-Rodríguez, Antonio Valero. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a SpringerBriefs in Food, Health, and Nutrition |v 5 |x 2197-5728 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 700 | 1 | |a Valero, Antonio, |d 19..- |4 aut | |
| 776 | 0 | |t Predictive Microbiology in Foods |b Texte imprimé |z 9781461455196 | |
| 776 | 0 | |t Predictive Microbiology in Foods |b Texte imprimé |z 9781461455219 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-1-4614-5520-2 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-WQTPFH5X-S |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748099352 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-1-4614-5520-2 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751553832 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-1-4614-5520-2 |z Accès INSA CVL | |
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