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Modeling Microbial Responses in Food
Contributor(s): McKellar, Robin C. (Editor), Lu, Xuewen (Editor)
ISBN: 084931237X     ISBN-13: 9780849312373
Publisher: CRC Press
OUR PRICE:   $266.00  
Product Type: Hardcover - Other Formats
Published: December 2003
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Annotation: Modeling Microbial Responses in Foods is the first state-of-the-art review of this dynamic field in a decade. The comprehensive coverage includes basic approaches, such as improvements in the development of primary and secondary models, statistical fitting strategies, and novel data collection methods. The authors explore important developing areas, including specific applications, challenges in applying models to foods, variability and uncertainly, and new modeling strategies. They provide detailed descriptions of non-linear regression fitting, methods, and approaches relevant to 'real world' situations, and extensive applications of predictive models.
Additional Information
BISAC Categories:
- Technology & Engineering | Food Science - General
- Science | Life Sciences - Microbiology
Dewey: 664.001
LCCN: 2003055715
Series: Contemporary Food Science
Physical Information: 0.94" H x 6.58" W x 9.46" (1.33 lbs) 358 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

The first state-of-the-art review of this dynamic field in a decade, Modeling Microbial Responses in Foods provides the latest information on techniques in mathematical modeling of microbial growth and survival. The comprehensive coverage includes basic approaches such as improvements in the development of primary and secondary models, statistical fitting strategies, and novel data collection methods.

An international team of experts explore important developing areas, including specific applications, challenges in applying models to foods, variability and uncertainty, and new modeling strategies. The authors present detailed descriptions of non-linear regression fitting, methods, approaches relevant to 'real world' situations, and extensive applications of predictive models. They conclude by highlighting the strengths and weaknesses in the field and areas for future work, and attempt to resolve some of the outstanding conflicts.

The book includes strategies for combining databases, improving researcher networks, and standardization of applications packages. Providing the uninitiated with enough information to begin developing their own models, Modeling Microbial Responses in Foods covers all aspects of growth and survival modeling from the primary stage of gathering data to the implementation of final models in appropriate delivery systems.