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Sampling Plans

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Microorganisms in Foods 7

Abstract

This text is concerned primarily with plans that may be applied to lots of food presented for acceptance at ports or other points of entry. Often, little or no information is available to the receiving agency about the method by which the food was processed or the record of previous performance by the same processor. Under these circumstances, attributes plans are appropriate. Variables sampling plans (see Sect. 7.3), which depend upon the nature of the frequency distribution of microorganisms within lots of foods, are suitable only if this distribution is known. Furthermore, variables sampling plans are not suited for presence/absence testing. This limits severely their usefulness in port-of-entry sampling, but they may be particularly helpful to food producers monitoring their own production.

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Notes

  1. 1.

    The use of the word quality in this chapter includes safety. It can relate for example to total counts, indicator organisms or specific pathogens, depending on the microbiological criterion at stake.

  2. 2.

    If the sampling process is without replacement (which generally will be the case), the probabilities of acceptance P a for various values of p should, in principle, be calculated using a different distribution model (hypergeometric). This effect only becomes important when a quarter to a half of the lot is taken as a sample, a circumstance that realistically never occurs in bacteriological analysis of lots of food.

References

  • Bassett, J., Jackson, T., Jewell, K., Jongenburger, I., & Zwietering, M. H. (2010). Impact of microbial distributions on food safety, International Life Sciences Institute (ILSI) Europe. Available at: http://www.ilsi.org/Europe/Publications/Microbial Distribution 2010.pdf

  • Bray, D. F., Lyon, D. A., & Burr, I. W. (1973). Three-class attributes plans in acceptance sampling. Technometrics, 15, 575–585.

    Article  Google Scholar 

  • Dahms, S., & Hildebrandt, G. (1998). Some remarks on the design of three-class sampling plans. Journal of Food Protection, 61, 757–761.

    Article  CAS  PubMed  Google Scholar 

  • FAO/WHO [Food and Agriculture Organization of the United Nations/World Health Organization]. (2016). Statistical aspects of microbiological criteria related to foods. A risk managers guide. Microbiological. Risk Assessment Series 24. Rome. 120pp.

    Google Scholar 

  • Greenberg, R. A., Tompkin, R. B., Bladel, B. O., Kittaka, R. S., & Anellis, A. (1966). Incidence of mesophilic Clostridium spores in raw pork, beef and chicken in processing plants in the United States and Canada. Applied Microbiology, 14, 789–793.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Hildebrandt, G., Böhmer, L., & Dahms, S. (1995). Three-class attributes plans in microbiological quality control: Contribution to the discussion. Journal of Food Protection, 58, 784–790.

    Article  Google Scholar 

  • Kilsby, D. (1982). Sampling schemes and limits. In M. H. Brown (Ed.), Meat microbiology (pp. 387–421). London: Applied Science Publishers.

    Chapter  Google Scholar 

  • Kilsby, D., Aspinall, L. J., & Baird-Parker, A. C. (1979). A system for setting numerical microbiological specifications for foods. The Journal of Applied Bacteriology, 46, 591–599.

    Article  CAS  PubMed  Google Scholar 

  • Legan, J. D., Vandeven, M. H., Dahms, S., & Cole, M. B. (2000). Determining the concentration of microorganisms controlled by attributes sampling plans. Food Control, 12, 137–147.

    Article  Google Scholar 

  • Malcolm, S. (1984). A note on the use of the non-central t-distribution in setting numerical microbiological specifications for foods. The Journal of Applied Bacteriology, 57, 175–177.

    Article  CAS  PubMed  Google Scholar 

  • Van Schothorst, M., Zwietering, M. H., Ross, T., Buchanan, R. L., Cole, M. B., & International Commission on Microbiological Specifications for Foods (ICMSF). (2009). Relating microbiological criteria to food safety objectives and performance objectives. Food Control, 20, 967–979.

    Article  Google Scholar 

  • Zwietering, M. H., Gorris, L. G. M., Farber, J. M., & The Example 5A Codex Working Group. (2015). Operationalising a performance objective with a microbiological criterion using a risk-based approach. Food Control, 58, 33–42.

    Article  Google Scholar 

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International Commission on Microbiological Specifications for Foods (ICMSF). (2018). Sampling Plans. In: Microorganisms in Foods 7. Springer, Cham. https://doi.org/10.1007/978-3-319-68460-4_7

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