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Applied and Environmental Microbiology, February 2004, p. 1081-1087, Vol. 70, No. 2
0099-2240/04/$08.00+0     DOI: 10.1128/AEM.70.2.1081-1087.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.

Development and Validation of Experimental Protocols for Use of Cardinal Models for Prediction of Microorganism Growth in Food Products

Anthony Pinon,¹ Marcel Zwietering,^2, Louise Perrier,² Jeanne-Marie Membré,³ Benoît Leporq,³ Eric Mettler,⁴ Dominique Thuault,⁵ Louis Coroller,⁵ Valérie Stahl,⁶ and Michèle Vialette^1*

Institut Pasteur de Lille, 59019 Lille Cedex,¹ Danone Vitapole, 91767 Palaiseau Cedex,² LGPTA-INRA, 59651 Villeneuve d'Ascq Cedex,³ SOREDAB, La Tremblaye, 78125 La Boissière-Ecole,⁴ ADRIA, Z. A. de Créac'h Gwen, 29196 Quimper Cedex,⁵ Aérial, 67305 Schiltigheim Cedex, France⁶

Received 19 May 2003/ Accepted 12 November 2003

An experimental protocol to validate secondary-model application to foods was suggested. Escherichia coli, Listeria monocytogenes, Bacillus cereus, Clostridium perfringens, and Salmonella were observed in various food categories, such as meat, dairy, egg, or seafood products. The secondary model validated in this study was based on the gamma concept, in which the environmental factors temperature, pH, and water activity (aw) were introduced as individual terms with microbe-dependent parameters, and the effect of foodstuffs on the growth rates of these species was described with a food- and microbe-dependent parameter. This food-oriented approach was carried out by challenge testing, generally at 15 and 10°C for L. monocytogenes, E. coli, B. cereus, and Salmonella and at 25 and 20°C for C. perfringens. About 222 kinetics in foods were generated. The results were compared to simulations generated by existing software, such as PMP. The bias factor was also calculated. The methodology to obtain a food-dependent parameter (fitting step) and therefore to compare results given by models with new independent data (validation step) is discussed in regard to its food safety application. The proposed methods were used within the French national program of predictive microbiology, Sym'Previus, to include challenge test results in the database and to obtain predictive models designed for microbial growth in food products.

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* Corresponding author. Mailing address: Institut Pasteur de Lille, 1 rue du Professeur Calmette, BP 245, 59019 Lille Cedex, France. Phone: 33-3-20-87-78-53. Fax: 33-3-20-87-72-24. E-mail: michele.vialette{at}pasteur-lille.fr.

Present address: Laboratory of Food Microbiology, Wageningen University, Wageningen, The Netherlands.

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Applied and Environmental Microbiology, February 2004, p. 1081-1087, Vol. 70, No. 2
0099-2240/04/$08.00+0     DOI: 10.1128/AEM.70.2.1081-1087.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.

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