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 ExcelO, 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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