Literature DB >> 25807044

QC of sampling processes- a first overview: from field to test portion.

Kim H Esbensen, Charles A Ramsey.   

Abstract

Quality control (QC) is a systematic approach for estimating and minimizing significant error contributions to the measurement uncertainty from the full sampling and analysis process. Many types of QC measures can be implemented; the three dealt with here are primary sampling reproducibility, sample processing reproducibility, and contamination. Sampling processes can be subject to QC by applying a replication experiment, used either from the top by replication of the entire sampling/ preparation/analysis process, or in a hierarchical fashion successively at each subsequent sampling stage. The analytical repeatability is necessarily always included in either alternative. The replication experiment results in a quality index, the Relative Sampling Variability, which is used to assess the total error associated with the full field-to-analysis pathway. Contamination can occur at essentially all locations in the sampling regimen in the food/feed realm, affecting sample containers, sampling tools, sample processing equipment, environmental conditions, and sampling personnel. QC events to determine contamination should always be included where appropriate, but is of most concern for low concentration and/or volatile analytes. It is also of key importance in the development of new sampling protocols or carried-over protocols intended for use on new types of materials/lots than the ones for which they were originally developed. We here establish a first practical framework for QC as applied to the sampling context.

Mesh:

Year:  2015        PMID: 25807044     DOI: 10.5740/jaoacint.14-288

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  1 in total

1.  Strengthening Data Defensibility in Government Human and Animal Food Testing Laboratories Through Accreditation: Lessons Learned From the FDA Accreditation Support Program.

Authors:  Robyn Randolph; Yvonne Salfinger; Nancy Thiex; Shari Shea; Kirsten Larson
Journal:  Public Health Rep       Date:  2019 Nov/Dec       Impact factor: 2.792

  1 in total

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