Multivariate analysis of remote laser-induced breakdown spectroscopy spectra using partial least squares, principal component analysis, and related techniques

被引:268
作者
Clegg, Samuel M. [1 ]
Sklute, Elizabeth [2 ]
Dyar, M. Darby [2 ]
Barefield, James E. [1 ]
Wiens, Roger C. [3 ]
机构
[1] Los Alamos Natl Lab, Div Chem, Los Alamos, NM 87544 USA
[2] Mt Holyoke Coll, S Hadley, MA 01075 USA
[3] Los Alamos Natl Lab, Int Space & Response Div, Los Alamos, NM 87544 USA
关键词
Remote laser-induced breakdown spectroscopy; Multivariate analysis; Principal components analysis; Partial least squares; QUANTITATIVE ELEMENTAL ANALYSIS; MASS ABSORPTION-COEFFICIENTS; MATRIX; EMISSION; CHLORINE; SULFUR; SOILS;
D O I
10.1016/j.sab.2008.10.045
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
Quantitative analysis with laser-induced breakdown spectroscopy traditionally employs calibration curves that are complicated by chemical matrix effects. These chemical matrix effects influence the laser-induced breakdown spectroscopy plasma and the ratio of elemental composition to elemental emission line intensity. Consequently, laser-induced breakdown spectroscopy calibration typically requires a priori knowledge of the unknown, in order for a series of calibration standards similar to the unknown to be employed. In this paper, three new Multivariate Analysis techniques are employed to analyze the laser-induced breakdown spectroscopy spectra of 18 disparate igneous and highly-metamorphosed rock samples. Partial Least Squares analysis is used to generate a calibration model from which unknown samples can be analyzed. Principal Components Analysis and Soft Independent Modeling of Class Analogy are employed to generate a model and predict the rock type of the samples. These Multivariate Analysis techniques appear to exploit the matrix effects associated with the chemistries of these 18 samples. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:79 / 88
页数:10
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