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首页> 外文期刊>Spectrochimica Acta, Part B. Atomic Spectroscopy >Comparison of matrix-effect corrections for ordinary and uncertainty weighted linear regressions and determination of major element mean concentrations and total uncertainties of sixty-two international geochemical reference materials from wavelength-dispersive X-ray fluorescence spectrometry
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Comparison of matrix-effect corrections for ordinary and uncertainty weighted linear regressions and determination of major element mean concentrations and total uncertainties of sixty-two international geochemical reference materials from wavelength-dispersive X-ray fluorescence spectrometry

机译:普通和不确定性加权线性回归的基质效应校正的比较和主要元素平均浓度的测定与波长分散X射线荧光光谱法的六十二国际地球化学参考材料的总不确定性

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摘要

In X-ray fluorescence (XRF) spectrometry, matrix-effect corrections for two types of linear regressions (ordinary and uncertainty-based weighted) have been performed for the first time and compared for the determination of major elements in rocks and minerals. The analytical data from different laboratories for 62 international geochemical reference materials (GRMs) were first processed to obtain better estimates of the mean values, along with lower uncertainties (narrower confidence limits of the mean), which were used in the XRF calibrations. The blank intensities were subtracted from the response for each GRM and the respective uncertainties were estimated. The uncertainty-based weighted least-squares linear regression (UWLR) model, being statistically more appropriate than the ordinary least-squares linear regression (OLR) model, provided more reliable regression equations than the OLR. All calculations and matrix-effect corrections were achieved through a newly developed online computer program. Similarly, matrix-effect corrections involving 11 alpha and 26 alpha (alphas) are presented and compared. The best UWLR method involving 26 alpha was successfully applied to the 62 GRMs and 4 similarly complex rock matrices as the calibrators. Both evaluations confirmed the usefulness of the UWLR model. This UWLR model was also compared with the OLR 26 alpha model for 62 GRMs treated as unknowns and shown to perform better. Thus, the UWLR model, along with the proposed matrix-effect correction method of 26 alpha, can be recommended as the most appropriate procedure for the calibration of XRF instruments, instead of the commonly used OLR models. This is the first time when 26 alpha are advantageously in a better estimate of influence coefficients used for major element determinations in rock and mineral samples. Because the UWLR calibration is based on a large number of GRMs of many rock and mineral types, it should be useful for all kinds of geological materials.
机译:在X射线荧光(XRF)光谱法中,首次进行了两种类型的线性回归(普通和不确定性加权)的基质效应校正,并比较了岩石和矿物质中的主要元素的比较。首先处理来自不同实验室的分析数据(GRMS),以获得更好的平均值估计,以及较低的不确定性(平均值的较窄置信限制),其用于XRF校准。从每个GRM的响应中减去空白强度,并且估计各个不确定性。基于不确定性的加权最小二乘线性回归(UWLR)模型,其比普通最小二乘线性回归(OLR)模型更适合,提供比OLR更可靠的回归方程。通过新开发的在线计算机程序实现所有计算和矩阵效应校正。类似地,提出并比较了涉及11个α和26个α(α)的矩阵效应校正。涉及26个alpha的最佳UWLR方法被成功应用于62 GM和4个类似复杂的岩石矩阵作为校准器。这两项评估都证实了UWLR模型的有用性。该UWLR模型也与OLR 26 alpha模型进行了比较,62 GRMS被视为未知并显示更好。因此,UWLR模型以及所提出的26个字母的矩阵效应校正方法,可以推荐作为校准XRF仪器的最合适的过程,而不是常用的OLR模型。这是第一次在26α在岩石和矿物样品中用于主要元素测定的影响系数的更好估计时。因为UWLR校准基于许多岩石和矿物类型的大量GRM,所以它应该对各种地质材料有用。

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