title: Quantitative risk assessment of Campylobacter spp. in poultry based meat preparations as one of the factors to support the development of risk-based microbiological criteria in Belgium.
abstract: The objective of this study was to do an exercise in risk assessment on Campylobacter spp. for poultry based meat preparations in Belgium. This risk assessment was undertaken on the demand of the competent national authorities as one of the supportive factors to define risk-based microbiological criteria. The quantitative risk assessment model follows a retail to table approach and is divided in different modules. The contamination of raw chicken meat products (CMPs) was represented by a normal distribution of the natural logarithm of the concentration of Campylobacter spp. (ln[Camp]) in raw CMPs based on data from surveillance programs in Belgium. To analyse the relative impact of reducing the risk of campylobacteriosis associated with a decrease in the Campylobacter contamination level in these types of food products, the model was run for different means and standard deviations of the normal distribution of the ln[Camp] in raw CMPs. The limitation in data for the local situation in Belgium and on this particular product and more precisely the semi-quantitative nature of concentration of Campylobacter spp. due to presence/absence testing, was identified as an important information gap. Also the knowledge on the dose-response relationship of Campylobacter spp. was limited, and therefore three different approaches of dose-response modelling were compared. Two approaches (1 and 2), derived from the same study, showed that the reduction of the mean of the distribution representing the ln[Camp] in raw CMPs is the best approach to reduce the risk of Campylobacter spp. in CMPs. However, for the simulated exposure and approach 3 it was observed that the reduction of the standard deviation is the most appropriate technique to lower the risk of campylobacteriosis. Since the dose-response models used in approach 1 and 2 are based on limited data and the reduction of the mean corresponds with a complete shift of the contamination level of raw CMPs, demanding high efforts from the poultry industry, it is proposed to lower the standard deviation of the concentration of Campylobacter spp. in raw CMPs. This proposal corresponds with the elimination of the products that are highly contaminated. Simulation showed that eating raw chicken meat products can give rise to exposures that are 10(10) times higher than when the product is heated, indicating that campaigns are important to inform consumers about the necessity of an appropriate heat treatment of these type of food products.
authors.affiliation: Laboratory of Food Microbiology and Food Preservation, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, B-9000 Ghent, Belgium. mieke.uyttendaele@UGent.be <mieke.uyttendaele@UGent.be>
authors.forename: M
authors.initials: M
authors.lastname: Uyttendaele
authors.forename: K
authors.initials: K
authors.lastname: Baert
authors.forename: Y
authors.initials: Y
authors.lastname: Ghafir
authors.forename: G
authors.initials: G
authors.lastname: Daube
authors.forename: L
authors.initials: L
authors.lastname: De Zutter
authors.forename: L
authors.initials: L
authors.lastname: Herman
authors.forename: K
authors.initials: K
authors.lastname: Dierick
authors.forename: D
authors.initials: D
authors.lastname: Pierard
authors.forename: J J
authors.initials: JJ
authors.lastname: Dubois
authors.forename: B
authors.initials: B
authors.lastname: Horion
authors.forename: J
authors.initials: J
authors.lastname: Debevere
mesh_terms: D000818:Animals; D001530:Belgium; D002167:Campylobacter / Q000254:growth & development* / Q000302:isolation & purification; D002645:Chickens; D015169:Colony Count, Microbial; D003257:Consumer Product Safety; D004196:Disease Outbreaks / Q000517:prevention & control*; D005506:Food Contamination / Q000032:analysis*; D005511:Food Handling / Q000379:methods*; D006801:Humans; D008460:Meat / Q000382:microbiology*; D008954:Models, Biological; D018570:Risk Assessment / Q000379:methods*