Klu Joyce K, Puch-Solis Roberto, Mudie Roy, Marland Victoria, Nic Daeid Niamh
Leverhulme Research Centre for Forensic Science, School of Science and Engineering, University of Dundee, Nethergate, Dundee DD2 1HD, Scotland, UK.
Leverhulme Research Centre for Forensic Science, School of Science and Engineering, University of Dundee, Nethergate, Dundee DD2 1HD, Scotland, UK.
Sci Justice. 2025 Jan;65(1):70-81. doi: 10.1016/j.scijus.2024.11.001. Epub 2024 Nov 29.
The assessment of measurement uncertainty of an analytic method is a requirement for forensic toxicologists and drug chemists. There are two main methods for estimating measurement uncertainty: the bottom-up and the top-down approaches. The bottom-up approach has been suggested in current practice guides including 'Guide to the Expression of Uncertainty in Measurement (GUM)' published by ISO, and a guide to 'Quantifying Uncertainty in Analytical Measurement' published by EURACHEM. To support forensic practitioners needing to estimate measurement uncertainty, we have developed an open-access Measurement Uncertainty Calculator (MUCalc) based on a bottom-up approach. The software quantifies measurement uncertainty associated with sample homogeneity, method precision, calibration curve, calibration standard and sample preparation. These are then combined to estimate the combined and the expanded uncertainty. The calculations are carried out in accordance with standards set out by accreditation organisations such as ISO/IEC Guid 98, GUM, EURACHEM and UKAS. MUCalc is unique in the sense that it is a white box. It displays on screen all formulae and step-by-step guide calculations in an easy-to-follow approach. This makes it easy for users to understand and cross-examine every result generated by MUCalc. Such a transparent display of the workings of the calculation is essential for the purposes of disclosure within the legal domain. It also facilitates training in the calculation of measurement uncertainties. We demonstrate the use of MUCalc for estimating the uncertainty associated with the quantification of the concentration of etizolam, a benzodiazepine implicated in a large percentage of drug-related deaths in Scotland.
对分析方法测量不确定度的评估是法医毒理学家和药物化学家的一项要求。估计测量不确定度有两种主要方法:自下而上法和自上而下法。目前的实践指南中建议采用自下而上法,包括国际标准化组织(ISO)发布的《测量不确定度表示指南》(GUM)以及欧洲分析化学中心(EURACHEM)发布的《分析测量不确定度量化指南》。为了支持需要估计测量不确定度的法医从业者,我们基于自下而上法开发了一个开放获取的测量不确定度计算器(MUCalc)。该软件对与样品均匀性、方法精密度、校准曲线、校准标准和样品制备相关的测量不确定度进行量化。然后将这些不确定度进行合并,以估计合成不确定度和扩展不确定度。计算是按照认可组织(如ISO/IEC指南98、GUM、EURACHEM和英国认可服务组织(UKAS))制定的标准进行的。MUCalc的独特之处在于它是一个白盒。它在屏幕上以易于理解的方式显示所有公式和逐步的计算指南。这使得用户很容易理解和交叉检验MUCalc生成的每个结果。这种计算过程的透明显示对于在法律领域进行披露至关重要。它也便于进行测量不确定度计算方面的培训。我们展示了如何使用MUCalc来估计与艾司唑仑浓度定量相关的不确定度,艾司唑仑是一种苯二氮䓬类药物,在苏格兰很大比例的与药物相关的死亡案例中都有涉及。