It takes the average reader 2 hours and 12 minutes to read Predictive Microbiology in Foods by Fernando Perez-Rodriguez
Assuming a reading speed of 250 words per minute. Learn more
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.
Predictive Microbiology in Foods by Fernando Perez-Rodriguez is 128 pages long, and a total of 33,024 words.
This makes it 43% the length of the average book. It also has 40% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours to read Predictive Microbiology in Foods aloud.
Predictive Microbiology in Foods is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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