Gain an Insight Into the Future Outlook for Microbial Modelling in Food.DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c53159) has announced the addition of Modelling Microorganisms in Food to their offering. Edited by S Brul, University of Amsterdam and Unilever Food Research Centre, S Van Gerwen, Unilever Food Research Centre and M Zwietering, Wageningen University It is based in the Dutch city of Wageningen. Wageningen University Wageningen University was established in 1918 and was the successor of the Agricultural School founded in 1876. , The Netherlands Predicting the growth and behaviour of microorganisms in food has long been an aim in food microbiology Food microbiology is the study of the microorganisms which inhabit, create or contaminate food. It is a subdiscipline of food science. Food safety Food safety is a major focus of food microbiology. research. In recent years, microbial microbial pertaining to or emanating from a microbe. microbial digestion the breakdown of organic material, especially feedstuffs, by microbial organisms. models have evolved to become more exact and the discipline of quantitative microbial ecology Microbial ecology The study of interrelationships between microorganisms and their living and nonliving environments. Microbial populations are able to tolerate and to grow under varying environmental conditions, including habitats with extreme environmental has gained increasing importance for food safety management, particularly as minimal processing techniques have become more widely used. These processing methods operate closer to microbial death, survival and growth boundaries and therefore require even more precise models. Written by a team of leading experts in the field, Modelling microorganims in food assesses the latest developments and provides an outlook for the future of microbial modelling. - assesses the latest developments in microbial modelling - discusses the issues involved in building models of microbial growth - chapters review the use of quantitative microbiology microbiology: see biology. microbiology Scientific study of microorganisms, a diverse group of simple life-forms including protozoans, algae, molds, bacteria, and viruses. tools in predictive microbiology - looks at new approaches to microbial modelling behaviour - written by a team of leading experts Predicting the growth and behaviour of microorganisms in food has long been an aim in food microbiology research. In recent years, microbial models have evolved to become more exact and the discipline of quantitative microbial ecology has gained increasing importance for food safety management, particularly as minimal processing techniques have become more widely used. These processing methods operate closer to microbial death, survival and growth boundaries and therefore require even more precise models. Written by a team of leading experts in the field, Modelling microorganims in food assesses the latest developments and provides an outlook for the future of microbial modelling. Part one discusses general issues involved in building models of microbial growth and inactivation inactivation /in·ac·ti·va·tion/ (in-ak?ti-va´shun) the destruction of biological activity, as of a virus, by the action of heat or other agent. in foods, with chapters on the historical background of the field, experimental design, data processing data processing or information processing, operations (e.g., handling, merging, sorting, and computing) performed upon data in accordance with strictly defined procedures, such as recording and summarizing the financial transactions of a and model fitting, the problem of uncertainty and variability in models and modelling lag-time. Further chapters review the use of quantitative microbiology tools in predictive microbiology and the use of predictive microbiology in risk assessment. The second part of the book focuses on new approaches in specific areas of microbial modelling, with chapters discussing the implications of microbial variability in predictive modelling Predictive modelling is the process by which a model is created or chosen to try to best predict the probability of an outcome. In many cases the model is chosen on the basis of detection theory to try to guess the probability of a signal given a set amount of input data, for and the importance of taking into account microbial interactions in foods. Predicting microbial inactivation under high pressure and the use of mechanistic mech·a·nis·tic adj. 1. Mechanically determined. 2. Of or relating to the philosophy of mechanism, especially one that tends to explain phenomena only by reference to physical or biological causes. models are also covered. The final chapters outline the possibility of incorporating systems biology Systems biology, a field of study in the biosciences, focuses on the systematic study of complex interactions in biological systems. Particularly from 2000 onwards, the term is used widely in the biosciences, and in a variety of contexts. approaches into food microbiology. Modelling microorganisms in food will be a standard reference for all those in the field of food microbiology. Professor Stanley Brul is Head of the Molecular Biology molecular biology, scientific study of the molecular basis of life processes, including cellular respiration, excretion, and reproduction. The term molecular biology was coined in 1938 by Warren Weaver, then director of the natural sciences program at the Rockefeller Department at the Institute for Life Sciences at the University of Amsterdam and Senior Scientist at the Unilever Food and Health Research Institute, The Netherlands. Dr Suzanne van Gerwen works for Unilever Foods in The Netherlands. Professor Marcel Zwietering teaches Food Microbiology at the highly regarded University of Wageningen, The Netherlands. Topics Covered Part 1 Building Models for Predictive Microbiology Part 2 New Approaches to Microbial Modelling in Specific Areas of Predictive Microbiology For more information visit http://www.researchandmarkets.com/reports/c53159 |
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