Open-access Measurement Uncertainty Calculator MUCalc and its application to the quantification of Etizolam in tablets using High-Performance Liquid Chromatography (HPLC)

IF 1.9 4区 医学 Q2 MEDICINE, LEGAL
Joyce K. Klu, Roberto Puch-Solis, Roy Mudie, Victoria Marland, Niamh Nic Daeid
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引用次数: 0

Abstract

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.
开放式测量不确定度计算器MUCalc及其在高效液相色谱法定量安替唑仑片剂中的应用
分析方法的测量不确定度评估是法医毒理学家和药物化学家的一项要求。测量不确定度的估计主要有两种方法:自底向上法和自顶向下法。目前的实践指南中建议采用自下而上的方法,包括ISO出版的“测量不确定度表达指南(GUM)”和EURACHEM出版的“分析测量中的不确定度量化指南”。为了支持需要估计测量不确定度的法医从业者,我们基于自下而上的方法开发了一个开放访问的测量不确定度计算器(MUCalc)。该软件量化了与样品均匀性、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。然后将这些组合起来以估计组合不确定性和扩展不确定性。这些计算是根据ISO/IEC Guid 98、GUM、EURACHEM和UKAS等认证组织制定的标准进行的。MUCalc的独特之处在于它是一个白色的盒子。它显示在屏幕上的所有公式和一步一步的指导计算在一个易于遵循的方法。这使得用户很容易理解和交叉检查MUCalc生成的每个结果。如此透明地显示计算过程,对于在法律范围内进行披露是必不可少的。它还有助于训练测量不确定度的计算。我们展示了使用MUCalc来估计与依替唑仑浓度定量相关的不确定性,依替唑仑是一种苯二氮卓类药物,与苏格兰很大比例的药物相关死亡有关。
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来源期刊
Science & Justice
Science & Justice 医学-病理学
CiteScore
4.20
自引率
15.80%
发文量
98
审稿时长
81 days
期刊介绍: Science & Justice provides a forum to promote communication and publication of original articles, reviews and correspondence on subjects that spark debates within the Forensic Science Community and the criminal justice sector. The journal provides a medium whereby all aspects of applying science to legal proceedings can be debated and progressed. Science & Justice is published six times a year, and will be of interest primarily to practising forensic scientists and their colleagues in related fields. It is chiefly concerned with the publication of formal scientific papers, in keeping with its international learned status, but will not accept any article describing experimentation on animals which does not meet strict ethical standards. Promote communication and informed debate within the Forensic Science Community and the criminal justice sector. To promote the publication of learned and original research findings from all areas of the forensic sciences and by so doing to advance the profession. To promote the publication of case based material by way of case reviews. To promote the publication of conference proceedings which are of interest to the forensic science community. To provide a medium whereby all aspects of applying science to legal proceedings can be debated and progressed. To appeal to all those with an interest in the forensic sciences.
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