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Abstract

In food safety management, sampling is an important tool for verifying control. Sampling by nature is a stochastic process. However, uncertainty regarding results is made even greater by the uneven distribution of microorganisms in a batch of food. This article reviews statistical aspects of sampling and describes the impact of distributions on the sampling results. Five different batch contamination scenarios are illustrated: a homogeneous batch, a heterogeneous batch with high- or low-level contamination, and a batch with localized high- or low-level contamination. These batch contamination scenarios showed that sampling results have to be interpreted carefully, especially when heterogeneous and localized contamination in food products is expected.

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/content/journals/10.1146/annurev-food-022814-015546
2015-04-10
2024-06-19
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  • Article Type: Review Article
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