移液器校准不确定度预算和CMC测定的最佳实践

G. Rodrigues
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引用次数: 0

摘要

随着单位销售量每年超过一百万件,移液器是无处不在的设备,并在各种各样的实验室中发现。应用范围从非定量用途(如混合或滗析)到高度定量用途,如标准品的分配和精确系列稀释的制备。由于移液器广泛用于关键的实验室测试,例如注射药物的质量控制分析和导致定罪或无罪的DNA分析,因此正确校准移液器很重要,校准不良的后果可能很严重。获得ISO/IEC 17025:2005认证的移液器校准实验室和服务机构的数量有明显的上升趋势。每个实验室都将进行不确定度分析并计算其校准测量能力(CMC)。本文对40个不同的移液器校准实验室现有的认可范围进行了汇编、比较和对比。各种格式被翻译成一个共同的基础,然后绘制以显示cmc如何随移液器体积和实验室之间的变化而变化。最显著的差异之一是实验室之间cmc的显著差异,其差异可达100倍或更多。已公布的移液器CMC与其他实验室变量(如学科经验、设备、参考标准、环境控制和相关学科的能力,如质量或体积)之间似乎没有什么相关性。为了了解CMC差异背后的原因,比较了一些领先实验室的移液器不确定度预算。基于这一评价,作者得出结论,建立移液器校准cmc的实验室实践没有很好地标准化,最大的差异来源似乎是如何评估和考虑被测移液器(UUT)的重复性贡献的实践。ILAC政策P-14[1]定义了CMC,并建立了关于“最佳现有设备”的可重复性和再现性的一般政策。在实践中,目前对于移液器校准过程中的哪些变异源应包括在CMC评估中没有达成共识,也没有就如何应用最佳现有移液器的概念达成一致。本文试图通过提供评估和沟通移液器校准不确定性的最佳实践以及评估移液器校准实验室CMC的建议,开始填补这一空白。报告测量不确定度的重要问题及其对评估实验室间比较和确定符合公差的影响也进行了讨论。
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Best Practices for Pipette Calibration Uncertainty Budgets and CMC Determination
With unit sales in excess of one million pieces per year, pipettes are ubiquitous devices and found in a wide variety of laboratories. Applications vary from non-quantitative uses (such as mixing or decanting) to highly quantitative uses such as dispensing of standards and preparation of accurate serial dilutions. Because pipettes are used extensively in critical laboratory tests such as quality control assay of injectable drugs and DNA analysis which results in conviction or exoneration, proper calibration of pipettes is important and the consequences of poor calibrations can be severe. There is a definite upward trend in the number of pipette calibration laboratories and service organizations which have obtained accreditation to ISO/IEC 17025:2005. Each of these laboratories will have performed an uncertainty analysis and calculated their calibration measurement capability (CMC).In this paper, the available scopes of accreditation from forty different pipette calibration laboratories are compiled, compared and contrasted. The various formats were translated into a common basis and then plotted to show how CMCs vary with pipette volume and vary between laboratories. One of the most notable differences is the significant variation in the CMCs among laboratories, which can vary by factors of 100 or more. There appears to be little correlation between a published pipette CMC and other laboratory variables such as experience in the discipline, equipment, reference standards, environmental controls, and capabilities in related disciplines such as mass or volumetrics. To understand the reasons behind these differences in CMC, pipette uncertainty budgets from some leading laboratories were compared. Based on this evaluation, the authors conclude that laboratory practices for establishing pipette calibration CMCs are not well standardized, and the largest source of variation seems to be practice in how the repeatability contribution from the pipette unit under test (UUT) is evaluated and considered. ILAC policy P-14 [1] defines CMC and establishes general policy regarding inclusion of repeatability and reproducibility of the “best existing device”. In practice, there is currently no consensus on which sources of variation in the pipette calibration process should be included in the CMC evaluation, nor is there agreement on how to apply the concept of a best existing pipette. This paper attempts to begin filling this gap by providing recommendations for a best practice in evaluating and communicating the uncertainty of a pipette calibration and for evaluating the CMC of a pipette calibration laboratory. The important questions of reporting measurement uncertainty and the impact it has on evaluating inter-laboratory comparisons and determining compliance with tolerances are also discussed.
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