Document Detail

MedLine Citation:
PMID:  15854708     Owner:  NLM     Status:  MEDLINE    
Describing the Sym'Previus project, the software and its deliverable facilities is the aim of this present paper. This software concerns all the partners of the food industry who are involved in the management of food safety and allows food-borne pathogen behaviour in food to be predicted, as function of the environment (nature of the food, manufacturing process, conditions of conservation). This analysis of microbial behaviour has been possible thanks to the progress made in predictive microbiology since the 1980s. Sym'Previus offers to food industry professionals and their partners the possibility of applying this progress, by giving access to a database, to simulation systems and expertise.
B Leporq; J-M Membré; C Dervin; P Buche; J P Guyonnet
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2004-11-23
Journal Detail:
Title:  International journal of food microbiology     Volume:  100     ISSN:  0168-1605     ISO Abbreviation:  Int. J. Food Microbiol.     Publication Date:  2005 Apr 
Date Detail:
Created Date:  2005-04-27     Completed Date:  2005-06-28     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8412849     Medline TA:  Int J Food Microbiol     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  231-7     Citation Subset:  IM    
Institut National de Recherche Agronomique, 369 rue Jules Guesde BP 39, F-59651 Villeneuve d'Ascq cédex, France.
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MeSH Terms
Computer Simulation
Consumer Product Safety*
Databases, Factual
Food Microbiology*
Models, Biological*
Models, Theoretical*
Predictive Value of Tests

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