Predictive Modeling and Risk Assessment

Costa, Rui

ISBN 10: 1441941355 / ISBN 13: 9781441941350

Published by Springer US, 2010

About this Item

Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Analyzes the risk in food processing and distribution Discusses ways in which to improve conditionsThe single most important task of food scientists and the food industry as a whole is to ensure the safety of foods supplied to consumers. R.

Seller Inventory # 4174491

Bibliographic Details

• Title: Predictive Modeling and Risk Assessment
• Publisher: Springer US
• Publication Date: 2010
• Language: English
• ISBN 10: 1441941355
• ISBN 13: 9781441941350
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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/.

From the Back Cover

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 emphasis is 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.

"ISEKI-Food" is an acronym for "Integrating Safety and Environmental Knowledge Into Food Studies". Participants in the ISEKI-Food network, coordinated by Professor Cristina Silva at The Catholic University of Portugal, come from 29 countries in Europe and most of the institutes and universities involved with Food Science education at the university level in Europe are represented. Some international companies and non teaching institutions have also participated in the network. The main objectives of ISEKI-Food are to improve the harmonization of studies in food science and engineering in Europe and to develop and adapt food science curricula emphasizing the inclusion of safety and environmental topics.

Predictive Modeling and Risk Assessment presents an overview of available mathematical models in food science and related subjects. The book is a collection of applications, applying to foods, which have been recently developed in fields such as pharmacy, agriculture, and environmental- and materials-science. It offers a comprehensive introduction to predictive modeling and risk assessment, an overview of the processing, distribution and consumption of foods, and finally a discussion on environmental pollutants and contaminants.