Quantitative analysis of alloy steel based on laser induced breakdown spectroscopy with partial least squares method

• Published in: Guang pu xue yu guang pu fen xi Vol. 34; no. 2; p. 542
• Main Authors: Cong, Zhi-Bo, Sun, Lan-Xiang, Xin, Yong, Li, Yang, Qi, Li-Feng, Yang, Zhi-Jia
• Format: Journal Article
• Language: Chinese
• Published: China 01.02.2014
• ISSN: 1000-0593
• DOI: 10.3964/j.issn.1000-0593(2014)02-0542-06

In the present paper both the partial least squares (PLS) method and the calibration curve (CC) method are used to quantitatively analyze the laser induced breakdown spectroscopy data obtained from the standard alloy steel samples. Both the major and trace elements were quantitatively analyzed. By comparing the results of two different calibration methods some useful results were obtained: for major elements, the PLS method is better than the CC method in quantitative analysis; more importantly, for the trace elements, the CC method can not give the quantitative results due to the extremely weak characteristic spectral lines, but the PLS method still has a good ability of quantitative analysis. And the regression coefficient of PLS method is compared with the original spectral data with background interference to explain the advantage of the PLS method in the LIBS quantitative analysis. Results proved that the PLS method used in laser induced breakdown spectroscopy is suitable for quantitative analysis of tra