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.
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.

Advanced Quantitative Microbiology for Foods and Biosystems: Models for Predicting Growth and Inactivation
456
Advanced Quantitative Microbiology for Foods and Biosystems: Models for Predicting Growth and Inactivation
456Product Details
ISBN-13: | 9780367390952 |
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Publisher: | Taylor & Francis |
Publication date: | 09/05/2019 |
Pages: | 456 |
Product dimensions: | 6.00(w) x 9.00(h) x (d) |