Uncertainty is an important quality parameter of any analytical result. Estimating the uncertainty of analytical procedures can be rather difficult in many instances. Computer simulation based on multiple repetition of calculation of the resulting quantity while varying slightly the input parameters is an alternative option. The input parameters for the various computation runs are composed of two terms: the constant mean value and the error, obtained as the product of the standard uncertainty of the parameter in question and a random number with the normal distribution N(0.1). This approach can also serve to optimize measuring procedures, as demonstrated on an example of the determination of lead in biological materials by isotope dilution mass spectrometry. The accuracy of the optimized method was tested by analysis of some CRMs, the robustness of the method was examined, and the detection limit (10 ng/g Pb) and repeatability (4 ng/g Pb) were determined.
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机译:不确定度是任何分析结果的重要质量参数。在许多情况下,估计分析程序的不确定性可能会非常困难。另一种选择是,基于多次重复计算结果量的计算机模拟,同时略微改变输入参数。各种计算运行的输入参数由两个项组成:常数平均值和误差,该误差是所讨论参数的标准不确定性与具有正态分布N(0.1)的随机数的乘积。这种方法还可用于优化测量程序,如通过同位素稀释质谱法测定生物材料中铅的实例所示。通过对一些CRM的分析来检验优化方法的准确性,检查该方法的稳健性,并确定检出限(10 ng / g Pb)和可重复性(4 ng / g Pb)。
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