Reference : A new tool to control meat products safety: a web based application of predictive microb...
Scientific congresses and symposiums : Unpublished conference
Life sciences : Food science
http://hdl.handle.net/2268/105108
A new tool to control meat products safety: a web based application of predictive microbiology models
English
Delhalle, Laurent mailto [Université de Liège - ULg > Département de sciences des denrées alimentaires > Technologie 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 >]
Didimo Imazaki, Pedro Henrique mailto [Université de Liège - ULg > > > Doct. sc. vété. (Bologne)]
Daube, Georges mailto [Université de Liège - ULg > Département de sciences des denrées alimentaires > Microbiologie des denrées alimentaires >]
Clinquart, Antoine mailto [Université de Liège - ULg > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires >]
2011
Yes
No
International
57th International Congress of Meat Science and Technology
7-12 August 2011
Gent
Belgium
[en] Predictive microbiology ; meat products ; Food safety
[en] Predictive microbiology is considered by the European legislation as a tool to control food safety. Meat and meat products are particularly sensitive to contamination with pathogens. However, development of predictive microbiology models and interpretation of results require specific knowledge. A free web based model has been developed for an easy use by people who are not experts in this field as industries and public authorities. The model can simulate the growth of Salmonella spp, Listeria monocytogenes and Escherichia coli O157 in minced pork meat and on pork meat product (white pudding) under different environmental conditions. The model provides simulations under static or dynamic conditions over time. The user also has the opportunity to import the specific growth rate and cardinal parameters of a bacterium. Unlike polynomial models currently available, this free web access model is distinguished by the use of secondary square roots and primary logistic model with delay. This model permits to have a real time process management, to prospect new formulation for safer products or to design safer processes, to estimate the shelf life of a food product, etc
This study was conducted with the financial support of the Walloon region (DGO6, Convention n°5713, 2008-2011), Belgium.
http://hdl.handle.net/2268/105108

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