Bayesian modeling of Clostridium perfringens growth in beef-in-sauce products

Author:

Jaloustre S.,Cornu M.,Morelli E.,Noël V.,Delignette-Muller M.L.

Publisher

Elsevier BV

Subject

Microbiology,Food Science

Reference75 articles.

1. Improving quantitative exposure assessment by considering genetic diversity of B. cereus in cooked, pasteurised and chilled foods;Afchain;International Journal of Food Microbiology,2008

2. Development of an integrated model for heat transfer and dynamic growth of Clostridium perfringens during the cooling of cooked boneless ham;Amezquita;International Journal of Food Microbiology,2005

3. The effect of calcium and sodium lactates on growth from spores of Bacillus cereus and Clostridium perfringens in a ‘sous-vide’ beef goulash under temperature abuse;Aran;International Journal of Food Microbiology,2001

4. Augustin, J.-C., Bergis, H., Bourdin, G., Cornu, M., Couvert, O., Denis, C., Huchet, V., Lemonnier, S., Pinon, A., Vialette, M., Zuliani, V. and Stahl, V., 2009. Design of challenge testing experiments to assess the variability of microbial behaviors in foods. 6th International Conference Predictive Modeling in Foods, September 8-12, 2009, Washington, USA.

5. A dynamic approach to predicting bacterial growth in food;Baranyi;International Journal of Food Microbiology,1994

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