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Advanced Quantitative Microbiology For Foods And Biosystems Models For Predicting Growth And Inactivation Contemporary Food Science 1st Edition Micha Peleg

  • SKU: BELL-2193350
Advanced Quantitative Microbiology For Foods And Biosystems Models For Predicting Growth And Inactivation Contemporary Food Science 1st Edition Micha Peleg
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Advanced Quantitative Microbiology For Foods And Biosystems Models For Predicting Growth And Inactivation Contemporary Food Science 1st Edition Micha Peleg instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 4.04 MB
Pages: 401
Author: Micha Peleg
ISBN: 0849336457
Language: English
Year: 2006
Edition: 1

Product desciption

Advanced Quantitative Microbiology For Foods And Biosystems Models For Predicting Growth And Inactivation Contemporary Food Science 1st Edition Micha Peleg by Micha Peleg 0849336457 instant download after payment.

Presenting a novel view of the quantitative modeling of microbial growth and inactivation patterns in food, water, and biosystems, Advanced Quantitative Microbiology for Foods and Biosystems: Models for Predicting Growth and Inactivation describes new models for estimating microbial growth and survival. The author covers traditional and alternative models, thermal and non-thermal preservation, water disinfection, microbial dose response curves, interpretation of irregular count records, and how to estimate the frequencies of future outbursts. He focuses primarily on the mathematical forms of the proposed alternative models and on the rationale for their introduction as substitutes to those currently in use. The book provides examples of how some of the methods can be implemented to follow or predict microbial growth and inactivation patterns, in real time, with free programs posted on the web, written in MS Excel?, and examples of how microbial survival parameters can be derived directly from non-isothermal inactivation data and then used to predict the efficacy of other non-isothermal heat treatments. Featuring numerous illustrations, equations, tables, and figures, the book elucidates a new approach that resolves several outstanding issues in microbial modeling and eliminates inconsistencies often found in current methods.

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