title: Assessment of levels of bacterial contamination of large wild game meat in Europe.
abstract: The variations in prevalence and levels of pathogens and fecal contamination indicators in large wild game meat were studied to assess their potential impact on consumers. This analysis was based on hazard analysis, data generation and statistical analysis. A total of 2919 meat samples from three species (red deer, roe deer, wild boar) were collected at French game meat traders' facilities using two sampling protocols. Information was gathered on the types of meat cuts (forequarter or haunch; first sampling protocol) or type of retail-ready meat (stewing meat or roasting meat; second protocol), and also on the meat storage conditions (frozen or chilled), country of origin (eight countries) and shooting season (autumn, winter, spring). The samples were analyzed in both protocols for detection and enumeration of Escherichia coli, coagulase+staphylococci and Clostridium perfringens. In addition, detection and enumeration of thermotolerant coliforms and Listeria monocytogenes were performed for samples collected in the first and second protocols, respectively. The levels of bacterial contamination of the raw meat were determined by performing statistical analysis involving probabilistic techniques and Bayesian inference. C. perfringens was found in the highest numbers for the three indicators of microbial quality, hygiene and good handling, and L. monocytogenes in the lowest. Differences in contamination levels between game species and between meats distributed as chilled or frozen products were not significant. These results might be included in quantitative exposure assessments.
authors.affiliation: Institut National de la Recherche Agronomique, Unité Mixte de Recherche 1014 Secalim, F-44307, France. jeanne-marie.membre@oniris-nantes.fr
authors.forename: Jeanne-Marie
authors.initials: JM
authors.lastname: Membré
authors.forename: Michel
authors.initials: M
authors.lastname: Laroche
authors.forename: Catherine
authors.initials: C
authors.lastname: Magras
mesh_terms: D000818:Animals; D001419:Bacteria / Q000145:classification / Q000235:genetics / Q000302:isolation & purification*; D003670:Deer; D005060:Europe; D005506:Food Contamination / Q000032:analysis*; D008460:Meat / Q000382:microbiology*; D034421:Sus scrofa