Reference : Les modèles de microbiologie prévisionellepour la maitrise de la sécurité des aliment...
Scientific journals : Article
Life sciences : Microbiology
http://hdl.handle.net/2268/131504
Les modèles de microbiologie prévisionellepour la maitrise de la sécurité des aliments (synthèse bibliographique)
French
[en] Growth models in predictive microbiology to ensure food safety
Delhalle, Laurent mailto [Université de Liège - ULg > Département de sciences des denrées alimentaires > Microbiologie des denrées alimentaires >]
Daube, Georges mailto [Université de Liège - ULg > Département de sciences des denrées alimentaires > Microbiologie des denrées alimentaires >]
Adolphe, Ysabelle mailto [Université de Liège - ULg > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires >]
Crevecoeur, Sébastien mailto [Université de Liège - ULg > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires >]
Clinquart, Antoine mailto [Université de Liège - ULg > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires >]
Sep-2012
Biotechnologie, Agronomie, Société et Environnement = Biotechnology, Agronomy, Society and Environment [=BASE]
Presses Agronomiques de Gembloux
16
3
369-381
Yes (verified by ORBi)
International
1370-6233
Gembloux
Belgique
[en] Predictive microbiology ; Food Safety ; Growth models
[fr] Microbiologie prévisionnelle ; sécurité alimentaire ; modèles de croissance
[en] Predictive microbiology aims to predict the evolution of microorganisms in foods with mathematical models. Several models have been published and the complexity of some of them makes their use difficult for the uninitiated. However, the use of this discipline will become widespread in coming years. These models provide, for example, additional tools to ensure the microbiological safety of food, to establish the contamination flow in a food chain, to develop and to assist the quality assurance systems. The development of new computer software and database will enable stakeholders in the food chain to have a better control of microbiological hazards. The aim of this summary is to give an overview of existing models of predictive microbiology and their applications. A first approach of the primary, secondary and tertiary models is given. The modelling of latency, integrated models and growth tests are also discussed.
Food Science Department
Project financed by Walloon Region (DGO6, Convention n°5713, 2008-2011)
Allongement de la durée de vie des produits alimentaires par la compréhension et la maîtrise des mécanismes responsables de leurs altérations (acronyme : CONSALIM).
Researchers ; Professionals
http://hdl.handle.net/2268/131504
also: http://hdl.handle.net/2268/134854
http://hdl.handle.net/11006/28

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