SpringerBriefs in Food, Health, and Nutrition

Predictive Microbiology in Foods

Authors: Perez-Rodriguez, Fernando, Valero, Antonio

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  • ISBN 978-1-4614-5520-2
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Softcover 57,19 €
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About this book

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. ​

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-1-4614-5520-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-1-4614-5519-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Predictive Microbiology in Foods
Authors
Series Title
SpringerBriefs in Food, Health, and Nutrition
Series Volume
5
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Fernando Pérez-Rodríguez and Antonio Valero
eBook ISBN
978-1-4614-5520-2
DOI
10.1007/978-1-4614-5520-2
Softcover ISBN
978-1-4614-5519-6
Series ISSN
2197-571X
Edition Number
1
Number of Pages
VI, 128
Number of Illustrations
10 b/w illustrations, 11 illustrations in colour
Topics