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首页> 外文期刊>Spectrochimica Acta, Part B. Atomic Spectroscopy >Accuracies and detection limits of major, minor, and trace element quantification in rocks by portable laser-induced breakdown spectroscopy
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Accuracies and detection limits of major, minor, and trace element quantification in rocks by portable laser-induced breakdown spectroscopy

机译:通过便携式激光诱导的击穿光谱学通过岩石中主要,次要和微量元素定量的精度和检测限制

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The recent manufacture of portable laser-induced breakdown spectroscopy (pLIBS) instruments has permitted widespread applications of an established analytical technique for in situ geochemical quantifications. This novelty has created a need for investigations comparing the default univariate pLIBS calibration accuracies to custom instrument calibrations based on geological samples and to other modeling methods. Previous research has shown that multivariate models can mitigate some of the matrix effects that cause intensity and concentration non-linearity within LIBS plasmas of rocks. This study thus makes two pLIBS calibration comparisons: one compares partial least squares (PLS) multivariate regression to univariate instrument models, while the other compares the default instrument calibration, intended for general industrial use, to a custom instrument calibration based on rock standards. Both comparisons use root mean squared errors (RMSE) between model-predicted and true standard values of the major oxides Al2O3, CaO, Fe2O3, K2O, MgO, MnO, Na2O, P2O5, SiO2, and TiO2, and minor and trace elements Ba, Cr, Cu, H2O, Li, Ni, Pb, S, and Zn to test calibration accuracies. pLIBS spectra from 2007 diverse rock standards were used for the PLS versus univariate model comparison, while 89 publicly-available geochemical standards were used to compare the default and custom instrument calibrations. PLS models give test accuracies for major elements of +/- 8.61 wt% for SiO2, +/- 3.38 for Al2O3, +/- 0.77 for TiO2, +/- 3.84 for Fe2O3, +/- 4.41 wt% for MgO, +/- 3.08 wt% for CaO, +/- 1.09 wt% for Na2O, and +/- 1.52 wt% for K2O. Quantification of trace and minor elements was more accurate with multivariate regression than with univariate instrument models, and the new custom instrument calibration had lower prediction errors for these elements than those of the default models. However, minor and trace element errors from all three calibrations were often greater than the average concentration of the test standards, which suggests that these substances are not well quantified in rocks by pLIBS instruments.
机译:最近的便携式激光诱导的击穿光谱(PLIBS)仪器的制造允许对原位地球化学量化的建立的分析技术进行广泛应用。这种新颖性创造了对基于地质样品的定制仪表校准和其他建模方法进行比较了对比较的调查。以前的研究表明,多变量模型可以减轻一些矩阵效应,这些效果导致LIBS岩石中的LIBS等离子体内的强度和浓度非线性。因此,这项研究使两个PLIBS校准比较:一个比较了与单变量仪器模型的部分最小二乘(PLS)多变量回归,而另一个比较了用于一般工业用途的默认仪器校准,以基于岩石标准的自定义仪器校准。比较既比大氧化物Al2O3,CaO,Fe2O3,K 2 O,MgO,MNO,Na 2 O,P2O5,SiO2和TiO2,也使用氧化物Al2O3,CaO,Fe 2 O 3,K 2 O,MgO,SiO 2和TiO 2的真正标准值之间的均方根误差(RMSE)。 Cr,Cu,H2O,Li,Ni,Pb,S和Zn测试校准精度。从2007年的PLIB Spectra用于PLS与单变量模型比较,而89个公开的地球化学标准用于比较默认和定制仪器校准。 PLS型号为SiO2,+/- 3.38为TiO2,+/- 0.77的SiO2,+/- 0.77的主要元素进行测试精度,用于MgO,+ / - 4.41wt%,+ / -3.08wt%的CaO,+/- 1.09重量%,K2O的+/- 1.52wt%。痕量和次要元素的量化与多元回归更准确,而不是单变量仪器模型,并且新的自定义仪器校准比这些元素的预测误差低于默认模型的预测误差。然而,来自所有三种校准的次要和痕量元素误差通常大于测试标准的平均浓度,这表明这些物质在PLIB仪器中没有充分定量岩石。

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