Affiliation: | aInstitut National de Recherche Agronomique, 369 rue Jules Guesde BP 39, F-59651 Villeneuve d'Ascq cédex, France bUMR BIA INA P-G/INRA, Paris 16, rue Claude Bernard 75231 Paris, cédex 5, France cArilait Recherches, 42 rue de Châteaudun, 75009 Paris, France |
Abstract: | 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. |