Validation of a stochastic modelling approach for Listeria monocytogenes growth in refrigerated foods |
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Authors: | Couvert Olivier Pinon Anthony Bergis Hélène Bourdichon François Carlin Frédéric Cornu Marie Denis Catherine Gnanou Besse Nathalie Guillier Laurent Jamet Emmanuel Mettler Eric Stahl Valérie Thuault Dominique Zuliani Véronique Augustin Jean-Christophe |
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Affiliation: | a Université Européenne de Bretagne, Université de Brest, LUBEM EA 3882, UMT Physiopt 08.3, 6 rue de l'Université, F-29334 Quimper Cedex, Franceb ADRIA Développement, ZA Creac'h Gwen, F-29196 Quimper Cedex, Francec Institut Pasteur de Lille, 1 rue du professeur Calmette, BP245, F-59019 Lille Cedex, Franced Agence Française de Sécurité Sanitaire des Aliments, Laboratoire d'Etudes et de Recherches sur la Qualité des Aliments et des Procédés agro-alimentaires (AFSSA LERQAP), 23 avenue du Général de Gaulle, F-94706 Maisons-Alfort Cedex, Francee Danone Food Safety Centre, Centre de Recherche Daniel Carasso, RD128, F-91767 Palaiseau Cedex, Francef INRA, UMR408 Sécurité et Qualité des Produits d'Origine Végétale, Université d'Avignon et des Pays de Vaucluse, F-84000 Avignon, Franceg ADRIA Normandie, bd du 13 juin 1944, F-14310 Villers-Bocage, Franceh ACTILAIT, 42 rue de Châteaudun, F-75314 Paris Cedex 09, Francei SOREDAB, La Tremblaye, F-78125 La Boissière-Ecole, Francej AERIAL, rue Laurent Fries, F-67412 Illkirch, Francek IFIP Institut de la filière porcine, pôle Viandes fraîches et produits transformés, 7 avenue du Général de Gaulle, F-94704 Maisons-Alfort Cedex, Francel Ecole Nationale Vétérinaire d'Alfort, Unité Microbiologie des Aliments, Sécurité et Qualité (MASQ), 7 avenue du Général de Gaulle, F-94704 Maisons-Alfort Cedex, Francem Groupement d'Intérêt Scientifique Sym'Previus, 147 rue de l'Université, F-75007 Paris, France |
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Abstract: | A stochastic modelling approach was developed to describe the distribution of Listeria monocytogenes contamination in foods throughout their shelf life. This model was designed to include the main sources of variability leading to a scattering of natural contaminations observed in food portions: the variability of the initial contamination, the variability of the biological parameters such as cardinal values and growth parameters, the variability of individual cell behaviours, the variability of pH and water activity of food as well as portion size, and the variability of storage temperatures. Simulated distributions of contamination were compared to observed distributions obtained on 5 day-old and 11 day-old cheese curd surfaces artificially contaminated with between 10 and 80 stressed cells and stored at 14 °C, to a distribution observed in cold smoked salmon artificially contaminated with approximately 13 stressed cells and stored at 8 °C, and to contaminations observed in naturally contaminated batches of smoked salmon processed by 10 manufacturers and stored for 10 days a 4 °C and then for 20 days at 8 °C. The variability of simulated contaminations was close to that observed for artificially and naturally contaminated foods leading to simulated statistical distributions properly describing the observed distributions. This model seems relevant to take into consideration the natural variability of processes governing the microbial behaviour in foods and is an effective approach to assess, for instance, the probability to exceed a critical threshold during the storage of foods like the limit of 100 CFU/g in the case of L. monocytogenes. |
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Keywords: | Predictive microbiology Stochastic modelling Biological variability Exposure assessment Listeria monocytogenes |
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