[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.
Research Center/Unit :
Food Science Department
Disciplines :
Microbiology
Author, co-author :
Delhalle, Laurent ; Université de Liège - ULiège > Département de sciences des denrées alimentaires > Microbiologie des denrées alimentaires
Daube, Georges ; Université de Liège - ULiège > Département de sciences des denrées alimentaires > Microbiologie des denrées alimentaires
Adolphe, Ysabelle ; Université de Liège - ULiège > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires
Crevecoeur, Sébastien ; Université de Liège - ULiège > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires
Clinquart, Antoine ; Université de Liège - ULiège > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires
Language :
French
Title :
Les modèles de microbiologie prévisionellepour la maitrise de la sécurité des aliments (synthèse bibliographique)
Alternative titles :
[en] Growth models in predictive microbiology to ensure food safety
Publication date :
September 2012
Journal title :
Biotechnologie, Agronomie, Société et Environnement
ISSN :
1370-6233
eISSN :
1780-4507
Publisher :
Presses Agronomiques de Gembloux, Gembloux, Belgium
Allongement de la durée de vie des produits alimentaires par la compréhension et la maîtrise des mécanismes responsables de leurs altérations (acronyme : CONSALIM).
Funders :
Project financed by Walloon Region (DGO6, Convention n°5713, 2008-2011)
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