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Predictive Modeling and Risk Assessment

Predictive Modeling and Risk Assessment


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About the Book

The single most important task of food scientists and the food industry as a whole is to ensure the safety of foods supplied to consumers. Recent trends in global food production, distribution and preparation call for increased emphasis on hygienic practices at all levels and for increased research in food safety in order to ensure a safer global food supply. The ISEKI-Food book series is a collection of books where various aspects of food safety and environmental issues are introduced and reviewed by scientists specializing in the field. In all of the books a special emp- sis was placed on including case studies applicable to each specific topic. The books are intended for graduate students and senior level undergraduate students as well as professionals and researchers interested in food safety and environmental issues applicable to food safety. The idea and planning of the books originates from two working groups in the European thematic network "ISEKI-Food" an acronym for "Integrating Safety and Environmental Knowledge In to Food Studies". Participants in the ISEKI-Food network come from 29 countries in Europe and most of the institutes and univer- ties involved with Food Science education at the university level are represented. Some international companies and non teaching institutions have also participated in the program. The ISEKI-Food network is coordinated by Professor Cristina Silva at The Catholic University of Portugal, College of Biotechnology (Escola) in Porto. The program has a web site at: http: //www. esb. ucp. pt/iseki/.


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Product Details
  • ISBN-13: 9780387335124
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Depth: 19
  • Height: 236 mm
  • No of Pages: 251
  • Series Title: ISEKI-Food
  • Weight: 607 gr
  • ISBN-10: 0387335129
  • Publisher Date: 01 Oct 2008
  • Binding: Hardback
  • Edition: 2009 ed.
  • Language: English
  • Returnable: N
  • Spine Width: 20 mm
  • Width: 155 mm


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