拟合非线性校准曲线:没有完美的模型

Julia Martín, A. Gracia, A. Asuero
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引用次数: 6

摘要

对一系列具有环境意义的化合物(六种全氟烷基化合物(全氟辛烷磺酸和五种全氟烷基羧酸)、三种防腐剂(甲基、乙基和丙基对羟基苯甲酸酯)和溴化阻燃剂六溴环十二烷)进行了LC-MS/MS校准研究,以期在具有环境意义的样品中同时测定它们。在某些情况下,可以得到非线性校准曲线,但由于浓度范围的限制,可以使用线性模型来拟合数据。残差分析已经执行,以验证哪些模型更适合数据,选择折衷的决定,鉴于残差图的明显复杂性。正如博克斯所说,不存在完美的模式(但有些模式比其他模式更有效)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fitting Nonlinear Calibration Curves: No Models Perfect
The study of the calibration of a series of compounds of environmental concern (six perfluoroalkyl compounds (perfluorooctane sulfonic acid and five perfluoroalkyl carboxylic acids), three preservatives (methyl-, ethyl- and propylparabens) and the brominated flame retardant hexabromocyclododecane) by LC-MS/MS has been carries out, with a view to their simultaneous determination in samples of environmental interest. In some cases nonlinear calibration curves are obtained, but restricting the concentration range a linear model may be used to fit the data. Residual analysis has been performed in order to verify which models fit the data better, opting for a compromise decision given the apparent complexity of residuals plots. As Box states there are no perfect models (but models that work better than others).
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