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采样过程的质量控制——初步概述:从现场到测试部分

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

作者信息

Esbensen Kim H, Ramsey Charles A

出版信息

J AOAC Int. 2015 Mar-Apr;98(2):282-7. doi: 10.5740/jaoacint.14-288.

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

摘要

质量控制(QC)是一种系统方法,用于估计并尽量减少整个采样和分析过程中对测量不确定度有显著影响的误差因素。可以实施多种类型的质量控制措施;这里讨论的三种措施是初级采样重复性、样品处理重复性和污染。采样过程可以通过进行重复实验来实施质量控制,这种重复实验既可以从整体上对整个采样/制备/分析过程进行重复,也可以在后续的每个采样阶段以分层方式依次进行。在这两种方式中,分析重复性都必然会被纳入其中。重复实验会得出一个质量指标,即相对采样变异性,用于评估与从现场到分析的整个流程相关的总误差。在食品/饲料领域的采样方案中,几乎所有环节都可能发生污染,这会影响样品容器、采样工具、样品处理设备、环境条件和采样人员。在适当情况下,应始终纳入用于确定污染的质量控制措施,但对于低浓度和/或挥发性分析物而言,这一点最为关键。在开发新的采样方案或用于新型材料/批次的延续方案(而非最初开发这些方案所针对的材料/批次)时,这一点也至关重要。我们在此建立了第一个适用于采样情况的质量控制实用框架。

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