Some pitfalls in the uncertainty evaluation of isotope delta reference materials

IF 0.8 4区 工程技术 Q4 CHEMISTRY, ANALYTICAL
Manfred Gröning
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引用次数: 0

Abstract

The Guide to the Expression of Uncertainty in Measurement (GUM) provides a framework for evaluating analytical data and characterizing their dispersion in a consistent manner. This is of eminent importance in the case of reference materials and their recommended values that are used for calibration of further measurements. The proper propagation of uncertainties for those data is essential. Guidance is provided in the GUM on how to calculate the combined standard uncertainty for a mean value or central value based on multiple individual measurements including their calibration uncertainty. However, according to published data, the guidance provided by GUM is not always properly applied in practice. Several published studies show calculated uncertainties much lower than those of input quantities. This may be caused by improper handling of the propagation of uncertainty components, thereby breaking the traceability chain for reported values. A simple check method using conventional statistical means is proposed to detect and to avoid such mistakes related to calibration uncertainties. It is intended to help to ensure a proper uncertainty propagation, to maintain a system of reliable and traceable reference materials. A spreadsheet is provided for the implementation of such a check. Example calculations for published data are presented.

同位素δ标准物质不确定度评定中的一些缺陷
测量不确定度表达指南(GUM)提供了一个框架,用于评估分析数据并以一致的方式描述其分散性。对于用于校准进一步测量的参考物质及其推荐值,这是非常重要的。这些数据的不确定性的适当传播是至关重要的。GUM提供了如何计算基于多个单独测量的平均值或中心值的联合标准不确定度的指导,包括其校准不确定度。然而,根据公布的数据,GUM提供的指导并不总是在实践中得到适当的应用。一些已发表的研究表明,计算出的不确定性远低于输入量。这可能是由于不确定成分传播的处理不当造成的,从而破坏了报告值的可追溯性链。提出了一种使用传统统计方法的简单检查方法,以检测和避免与校准不确定度相关的错误。它的目的是帮助确保适当的不确定度传播,以维持一个可靠和可追溯的参考物质系统。提供了一个电子表格来执行这种检查。给出了已发表数据的计算实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accreditation and Quality Assurance
Accreditation and Quality Assurance 工程技术-分析化学
CiteScore
1.80
自引率
22.20%
发文量
39
审稿时长
6-12 weeks
期刊介绍: Accreditation and Quality Assurance has established itself as the leading information and discussion forum for all aspects relevant to quality, transparency and reliability of measurement results in chemical and biological sciences. The journal serves the information needs of researchers, practitioners and decision makers dealing with quality assurance and quality management, including the development and application of metrological principles and concepts such as traceability or measurement uncertainty in the following fields: environment, nutrition, consumer protection, geology, metallurgy, pharmacy, forensics, clinical chemistry and laboratory medicine, and microbiology.
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