Literature DB >> 25747233

Statistical aspects of food safety sampling.

I Jongenburger1, H M W den Besten, M H Zwietering.   

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.

Keywords:  OC curve; heterogeneity; microbiological criteria; pathogens; sampling plan; spatial distribution

Mesh:

Year:  2015        PMID: 25747233     DOI: 10.1146/annurev-food-022814-015546

Source DB:  PubMed          Journal:  Annu Rev Food Sci Technol        ISSN: 1941-1421


  4 in total

1.  Evaluation of the Impact of Skewness, Clustering, and Probe Sampling Plan on Aflatoxin Detection in Corn.

Authors:  Xianbin Cheng; Matthew J Stasiewicz
Journal:  Risk Anal       Date:  2021-03-17       Impact factor: 4.302

2.  Increasing incubation periods during a prolonged monophasic Salmonella Typhimurium outbreak with environmental contamination of a commercial kitchen at Oslo Airport, Norway, 2017.

Authors:  Lotta Siira; Emily MacDonald; Gry Marianne Holmbakken; Tom Sundar; Lars Meyer-Myklestad; Heidi Lange; Lin T Brandal; Umaer Naseer; Gro S Johannessen; Bjarne Bergsjø; Laura Espenhain; Line Vold; Karin Nygård
Journal:  Euro Surveill       Date:  2019-08

Review 3.  Salmonella, Food Safety and Food Handling Practices.

Authors:  Olugbenga Ehuwa; Amit K Jaiswal; Swarna Jaiswal
Journal:  Foods       Date:  2021-04-21

4.  In Silico Models for Design and Optimization of Science-Based Listeria Environmental Monitoring Programs in Fresh-Cut Produce Facilities.

Authors:  Genevieve Sullivan; Claire Zoellner; Martin Wiedmann; Renata Ivanek
Journal:  Appl Environ Microbiol       Date:  2021-08-18       Impact factor: 4.792

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.