Statistical Aspects of Food Safety Sampling

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 samplin...

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Bibliographic Details
Published in:Annual review of food science and technology 2015-01, Vol.6 (1), p.479-503
Main Authors: Jongenburger, I, den Besten, H.M.W, Zwietering, M.H
Format: Article
Language:English
Subjects:
Disease Outbreaks
distributions
escherichia-coli o157
Food Contamination
Food Microbiology
Food Safety
Foodborne Diseases - epidemiology
Foodborne Diseases - etiology
Foodborne Diseases - microbiology
heterogeneity
Humans
hygienic performances
listeria-monocytogenes
microbial counts
microbiological criteria
microbiological risk-assessment
Models, Theoretical
OC curve
pathogens
probable number
salmonella-typhimurium
sampling plan
spatial distribution
united-states
water
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Summary: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.
ISSN:1941-1413
1941-1421
DOI:10.1146/annurev-food-022814-015546