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The Horwitz curve is too optimistic for analyses in plastics

机译:Horwitz曲线对于塑料分析而言过于乐观

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The Horwitz curve states a relationship between the analyte concentration in various matrices and the interlaboratory reproducibility as found in collaborative studies. The reproducibility becomes worse (larger) with lowering of the analyte concentration. We found that the Horwitz assumption is too optimistic for analyses in plastics. Based on 15 different proficiency tests with 68 reproducibility-concentration relationships, it becomes clear that the precision can be worse by a factor of ten or more than predicted by the Horwitz curve. Organic analytes seem to be more critical than inorganic ones. One of the reasons is assumed to be the poor homogeneity of many samples. Another problem could be the lack of standard methods for plastics analyses. However, the great observed variability cannot be explained by these two features alone. (c) 2005 Elsevier Ltd. All rights reserved.
机译:Horwitz曲线说明了各种基质中分析物浓度与实验室间可重复性之间的关系,如在合作研究中发现的。随着分析物浓度的降低,重现性变差(更大)。我们发现Horwitz假设对于塑料分析而言过于乐观。基于15种具有68个重现性-浓度关系的不同能力验证,很明显,精度可能比Horwitz曲线预测的精度差十倍甚至更多。有机分析物似乎比无机分析物更为关键。可以认为原因之一是许多样品的均一性差。另一个问题可能是缺乏用于塑料分析的标准方法。然而,观察到的巨大变异性不能仅通过这两个特征来解释。 (c)2005 Elsevier Ltd.保留所有权利。

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