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IUPAC-Consistent Approach to the Limit of Detection in Partial Least-Squares Calibration

机译:IUPAC一致方法在部分最小二乘标定中的检出限

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There is currently no well-defined procedure for providing the limit of detection (LOD) in multivariate calibration. Defining an estimator for the LOD in this scenario has shown to be more complex than intuitively extending the traditional univariate definition. For these reasons, although many attempts have been made to arrive at a reasonable convention, additional effort is required to achieve full agreement between the univariate and multivariate LOD definitions. In this work, a novel approach is presented to estimate the LOD in partial least-squares (PLS) calibration. Instead of a single LOD value, an interval of LODs is provided, which depends on the variation of the background composition in the calibration space. This is in contrast with previously proposed univariate extensions of the LOD concept. With the present definition, the LOD interval becomes a parameter characterizing the overall PLS calibration model, and not each test sample in particular, as has been proposed in the past. The new approach takes into account IUPAC official recommendations, and also the latest developments in error-in-variables theory for PLS calibration. Both simulated and real analytical systems have been studied for illustrating the properties of the new LOD concept.
机译:当前,尚无明确定义的程序来提供多元校准中的检测限(LOD)。在这种情况下,为LOD定义一个估计量比直接扩展传统的单变量定义要复杂得多。由于这些原因,尽管已进行了许多尝试来达成合理的约定,但仍需要付出更多的努力才能在单变量和多变量LOD定义之间达成完全一致。在这项工作中,提出了一种新颖的方法来估计局部最小二乘(PLS)校准中的LOD。代替单个LOD值,而是提供一个LOD间隔,这取决于校准空间中背景成分的变化。这与先前提出的LOD概念的单变量扩展形成对比。根据当前的定义,LOD间隔成为表征整个PLS校准模型的参数,而不是像过去已经提出的那样,不是每个测试样本的特征。新方法考虑了IUPAC官方建议以及PLS校准的变量误差理论的最新发展。为了说明新的LOD概念的特性,已经对模拟和实际分析系统进行了研究。

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