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Proficiency testing for determination of lead and arsenic in cosmetics: comparison of analytical procedures and evaluation of laboratory performances

机译:化妆品中铅和砷含量的能力测试:分析程序的比较和实验室性能的评估

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摘要

A proficiency testing scheme (CNAS T0419) is described involving 217 laboratories in China as participants using their regular analytical methods for the determination of lead and arsenic in foundation cream cosmetics. The metrological comparability of results from various approaches was tested using simple linear regression analysis and analysis of variance as valid techniques. There were no significant differences in the values obtained after elimination of outliers by the Grubbs test. The normality of the distribution of the results submitted by the participants was examined with the one-sample Kolmogorov-Smirnov test. The distribution characteristics of result points for the paired samples were investigated using the Youden plot, which could greatly simplify the data analysis process. The assigned values of test materials for proficiency assessment were derived directly from the reported results of the participating laboratories. The measurement capabilities of laboratories for determining heavy metals, especially lead and arsenic in complex matrices were objectively assessed using z-scores, which could readily be used to compare each participant's value relative to the others and enabled the outlier laboratories to find out the dominant error sources such as systematic and random variations. The percentages of acceptable results of between- and within-laboratories were 86.0% and 84.2% for lead, and 84.6% and 83.6% for arsenic, respectively.
机译:描述了一种能力测试计划(CNAS T0419),涉及到中国的217个实验室,他们使用常规分析方法来测定基础霜化妆品中的铅和砷。使用简单的线性回归分析和方差分析作为有效技术,测试了来自各种方法的结果的计量可比性。通过Grubbs检验消除异常值后获得的值没有显着差异。用一样本Kolmogorov-Smirnov检验检查了参与者提交的结果分布的正态性。使用Youden图研究了配对样品的结果点的分布特征,这可以大大简化数据分析过程。用于能力评估的测试材料的指定值直接从参与实验室的报告结果中得出。使用z分数可以客观地评估实验室确定复杂金属中重金属(尤其是铅和砷)的测量能力,可以轻松地比较每个参与者相对于其他参与者的价值,从而使异常实验室能够找出主要误差来源,例如系统和随机变化。实验室之间和实验室内可接受结果的铅百分比分别为86.0%和84.2%,砷为84.6%和83.6%。

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