Suppr超能文献

采样的能力验证

Proficiency testing of sampling.

出版信息

Anal Methods. 2017 Jul 20;9(28):4110-4111. doi: 10.1039/c7ay90092a.

Abstract

Proficiency testing of analytical laboratories is now ubiquitous-laboratories need to participate regularly to receive accreditation. The outcome helps participants to detect unexpected sources of uncertainty. But sampling, as well as analysis per se, introduces its own uncertainty in most types of analysis. Sampling uncertainty arises partly from heterogeneity in the 'target' (the particular mass of material for which the sample is a surrogate), but also from variation in the manner in which the sample is extracted. Different samplers will do the job somewhat differently, even when following a single protocol. The potential value of proficiency tests for sampling is therefore obvious. And in recent years, feasibility studies and schemes have appeared in several application sectors. Different sectors have very different constraints on how sampling and proficiency testing can be carried out. Nevertheless, the need for general guidelines is obvious.

摘要

如今,分析实验室的能力验证无处不在——实验室需要定期参与以获得认可。其结果有助于参与者发现意外的不确定来源。但在大多数类型的分析中,采样以及分析本身都会引入其自身的不确定性。采样不确定性部分源于“目标物”(样本作为其替代物的特定物质质量)的不均匀性,也源于样本提取方式的变化。即使遵循单一方案,不同的采样人员完成工作的方式也会有所不同。因此,能力验证对采样的潜在价值显而易见。近年来,可行性研究和方案已出现在多个应用领域。不同领域对采样和能力验证的实施方式有非常不同的限制。然而,制定通用指南的必要性是显而易见的。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验