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Maarten Nauta and Jens Kirk Andersen on behalf of the drafting team

Example 4: The establishment of a MC for lot-wise verification, based on a quantitative risk assessment. Maarten Nauta and Jens Kirk Andersen on behalf of the drafting team. Specifics of this example. The MC applies no “microbiological limit” (m, M),

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Maarten Nauta and Jens Kirk Andersen on behalf of the drafting team

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  1. Example 4: The establishment of a MC for lot-wise verification, based on a quantitative risk assessment Maarten Nauta and Jens Kirk Andersen on behalf of the drafting team

  2. Specifics of this example • The MC applies no “microbiological limit” (m, M), but a limit for the “Relative Risk” estimate associated with the food lot • PO and FSO need not be defined • Performance of a quantitative microbiological risk assessment model • More practical when the pathogen is highly prevalent

  3. Procedure • Test n samples from a food lot • (semi-) quantitative data • Perform a risk assessment on the test result • Compare the risk of the food lot with an average (“baseline”) risk associated with the food • This baseline risk is obtained by the same risk assessment model • Acceptability of food lot is conditioned on its Relative Risk RR • E.g. risk management decides a food lot with RR > 10 is non-conforming

  4. ALOP Human FSO Meal/RTE PO Food Chain PO PO and FSO need not be defined MC MC

  5. Requirements: • A quantitative microbiological risk assessment (QMRA) • To obtain a human health risk estimate for a tested food lot based on n samples • Can be made user friendly • A “baseline” data set • Represents the current occurrence and current population risk, or another representative situation • Provides a “baseline” risk estimate

  6. ALOP Human FSO Meal/RTE PO Food Chain PO Example on Campylobacter in poultry RR = 0.271N100-1000 + 0.988*N>1000 MC MC 20 meat /skin samples per food lot MC defined by critical value of RR (e.g. RR>10)

  7. Latest news • Technical annex can be replaced by accepted paper. • Christensen et al 2012 Food Control • A freely available user friendly tool for applying this method will be developed

  8. Drafting team: • Brazil • Andrea Regina de Oliveira Silva et al. • Colombia • Blanca Cristina Olarte, Diana Ximena Correa et al. • Costa Rica • Florencia Antillón Guerrero et al. • Denmark • Jens Kirk Andersen, Annette Perge, Niels Nielsen, Maarten Nauta et al. • Senegal • Amy Gassama Sow et al. • ALA • Simone Machado

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