现代食品分析方法的精确性和霍维茨方程的相关性。

Stefan Ehling, Joseph J Thompson, Karen J Schimpf, Lawrence H Pacquette, Philip A Haselberger
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引用次数: 0

摘要

背景:Horwitz方程模拟了经验观察到的实验室间相对标准偏差RSDR与以质量分数表示的分析物浓度之间的关系。霍维茨比(HorRat)是观测到的RSDR与根据霍维茨方程计算出的相应RSDR的比值。对于成功的多实验室方法验证试验,经验可接受范围为0.5至2.0。目的:本研究对2011-2017年间进行的食品分析的多实验室试验数据进行了分析,以了解分析方法精度的趋势以及Horwitz模型的适用性和相关性。方法:对20个多实验室试验961个数据点的方法精密度数据进行分析。范围仅限于采用现代色谱和光谱技术的方法,以及定义明确的小分子分析物和元素。检验了实验室内和实验室间的精密度及其比值、HorRat、与Horwitz模型的拟合优度以及精密度在分析范围内的变化。结果:实验室间精度的方差在很大程度上(86%)与浓度无关,并且仍然无法用Horwitz方程解释。只有52%的数据点落在Horwitz波段(0.5-2.0)内,46%的数据点落在0.5以下,这表明在所有浓度水平下,实验室间的精度都比Horwitz方程预测的要高得多。在各种方法的分析范围内,甚至在接近定量极限的范围内,都证实了接近恒定的精密度。结论:范围内数据的分析表明,采用现代色谱和光谱技术,适当的实验室控制和培训,常规分析方法的精密度比Horwitz方程预测的要好得多。HorRat已经失去了作为判断多实验室试验成功与否的方法性能标准的相关性。亮点:最近的数据不符合霍维茨模型。HorRat值
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A contemporary look at the precision of modern analytical methods in food analysis and the relevance of the Horwitz equation.

Background: The Horwitz equation models an empirically observed relationship between inter-laboratory relative standard deviation RSDR and analyte concentration expressed as a mass fraction. The Horwitz ratio (HorRat) is the ratio of observed RSDR to the corresponding calculated RSDR from the Horwitz equation. The empirical acceptable range is 0.5 to 2.0 for a successful multi-laboratory method validation trial.

Objective: This work examines data from multi-laboratory trials on food analyses conducted between 2011-2017 for trends in analytical method precision and the applicability and relevance of the Horwitz model.

Method: Data on method precision from 20 multi-laboratory trials consisting of 961 data points were analyzed. The scope was limited to methods employing modern chromatographic and spectroscopic techniques and to well-defined small molecule analytes and elements. Within-laboratory and inter-laboratory precision and their ratio, HorRat, goodness of fit to the Horwitz model, and variation of precision across the analytical range were examined.

Results: The variance of inter-laboratory precision is largely (86%) independent of concentration and remains unexplained by the Horwitz equation. Only 52% of all data points fell within the Horwitz band (0.5-2.0), with 46% falling under 0.5, indicating substantially better inter-laboratory precision than predicted by the Horwitz equation at all concentration levels. Near-constant precision was confirmed across the analytical range of methods, even near the limit of quantitation.

Conclusions: The analysis of the data in scope demonstrates that the analytical method precision routinely achievable with modern chromatographic and spectroscopic techniques, proper laboratory controls, and training is much better than that predicted by the Horwitz equation. HorRat has lost its relevance as a method performance criterion for judging the success of a multi-laboratory trial.

Highlights: Recent data do not follow the Horwitz model. HorRat values <0.5 can be routinely achieved. Method precision is mostly independent of analyte concentration. Method-related factors have greater impact on precision.

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