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Risk-based microbiological criteria for Campylobacter in broiler meat: A comparison of two approaches

  • Maarten Nauta
  • , Jens Kirk Andersen
  • , Pirkko Tuominen
  • , Jukka Ranta
  • , Roland Lindqvist

    Publication: Contribution to journal › Journal article › peer-review

    Abstract

    Risk-based microbiological criteria can offer a tool to control Campylobacter in the broiler meat production chain. Recently two approaches have been applied to derive such criteria and to analyse their potential impact in terms of human health risk reduction: the risk-based version of the established microbiological criteria approach, that applies a microbiological limit (ML) for sample data, and the Danish "case-by- case" risk assessment approach, that applies a limit for the relative risk estimate (relative risk limit, RRL) based on sample data. In this study, data sets from Sweden and Denmark are used to compare the performance of the two approaches in terms of efficiency, i.e. the balance between the residual risk after implementation of the criterion and the percentage of non-complying batches, and the attending uncertainty. The analysis shows that the two approaches are equally efficient, and suggests that the RRL criterion is attended with less uncertainty. The two approaches are compared and their advantages and disadvantages are discussed. Given the uncertainties attending the results of the analysis, more research in terms of data collection, risk assessment and uncertainty analysis would be needed to develop these risk-based criteria further. (C) 2015 Elsevier Ltd. All rights reserved.
    Original languageEnglish
    Pages (from-to)177-184
    Number of pages8
    JournalFood Control
    Volume53
    DOIs
    Publication statusPublished - 2015

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 2 - Zero Hunger
      SDG 2 Zero Hunger

    Keywords

    • Food safety standards
    • Control
    • Risk assessment
    • Relative risk
    • Uncertainty analysis

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