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Sampling almonds for aflatoxin, part II: estimating risks associated with various sampling plan designs.

Thomas B Whitaker1, Andrew B Slate, J Michael Hurley

  • 1U.S. Department of Agriculture, Agricultural Research Service, North Carolina State University, Box 7625, Raleigh, NC 27695-7625, USA. tom_whitaker@ncsu.edu

Journal of AOAC International
|June 22, 2007
PubMed
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Harmonizing global aflatoxin regulations is crucial. This study models aflatoxin distribution in almonds using the negative binomial distribution to improve sampling plans and reduce misclassification in international trade.

Area of Science:

  • Food Science
  • Analytical Chemistry
  • Regulatory Science

Background:

  • Regulatory limits for aflatoxin, a toxic mold byproduct, vary significantly across approximately 100 nations.
  • The Codex Alimentarius Commission is working to harmonize aflatoxin limits and sampling plans for various nuts.
  • Accurate aflatoxin testing and sampling are vital for food safety and international trade.

Purpose of the Study:

  • To develop a model for evaluating aflatoxin sampling plan performance in almonds.
  • To reduce misclassification of almond lots in the export trade through harmonized sampling plans.
  • To measure uncertainty and distribution of test results for aflatoxin in almond samples.

Main Methods:

  • Twenty lots of shelled almonds were sampled, with sixteen 10 kg samples taken per lot.

Related Experiment Videos

  • Aflatoxin distribution among replicate samples was analyzed and compared to theoretical distributions.
  • The negative binomial distribution was selected to model observed aflatoxin distribution patterns.

    • Main Results:

    • The negative binomial distribution provided an acceptable fit for observed aflatoxin distributions across all tested almond samples.
    • Operating characteristics curves were developed using variance and distribution data.
    • The model predicts the impact of sample size and decision limits on lot rejection/acceptance probabilities.

    Conclusions:

    • The negative binomial distribution is a suitable model for aflatoxin distribution in almond samples.
    • The developed model aids in creating more effective and harmonized aflatoxin sampling plans for almonds.
    • Improved sampling plans will enhance accuracy in classifying export lots, supporting international trade standards.