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Books > Science & Mathematics > Biology, life sciences > Microbiology (non-medical)
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Predictive Microbiology in Foods (Paperback, 2013 ed.)
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Predictive Microbiology in Foods (Paperback, 2013 ed.)
Series: SpringerBriefs in Food, Health, and Nutrition, 5
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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.
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