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CRC Press Advanced Quantitative Microbiology for Foods and Biosystems: Models for Predicting Growth and Inactivation

Name: Advanced Quantitative Microbiology for Foods and Biosystems: Models for Predicting Growth and Inactivation
Brand: CRC Press
Price: 66.8 GBP
Availability: InStock

Microbiology

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Description

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 ExcelÒ, 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.

Product Specifications

Brand: CRC Press
Format: paperback
ASIN: 0367390957
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Microbiology
Domain: Amazon UK
Release Date: 05 September 2019
Listed Since: 08 August 2019

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CRC Press Advanced Quantitative Microbiology for Foods and Biosystems: Models for Predicting Growth and Inactivation

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CRC Press Advanced Quantitative Microbiology for Foods and Biosystems: Models for Predicting Growth and Inactivation

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