Quantitative Analysis of Mn in Soil Based on LIBS with Multivariate Nonlinear Method
WANG Ping1, LI Dui-yuan2
1. The Institute of Mechanical and Electrical Engineering of Anhui Jianzhu University, Hefei 230601, China 2. The Institute of Traffic Engineering of Anhui Sanlian University，Hefei 230601, China
Abstract：Manganese (Mn) is one of the indispensable micronutrients for plants. The concentration of Mn in soil was determined with laser-induced breakdown spectroscopy (LIBS) in this paper. Forty-six soil samples were used to obtain the spectrum data of LIBS. The characteristic line of 403.1 nm was selected as the analytical line of Mn. The calibration curve of the net intensity of Mn line at 403.1 nm versus the corresponding concentration was constructed withthe correlation coefficient 0.78. The results showed that, due to the complex chemical compositions of soil samples, the calibration method influenced by the matrix effect seriously. It should utilize more information of LIBS spectra to construct the multivariate nonlinear calibration method, which can reduce the matrix effect and improve the measurement accuracy of LIBS. With multivariate nonlinear calibration method, the interference effect of C and Fe elements on the concentration of Mn was considered. Compared with calibration method, the correlation coefficient of the prediction concentration of LIBS with reference concentration was 0.97, and the relative measured error was in the range 3.2%~10.3%,Therefore, the measurement accuracy of LIBS was increased. The experimental results demonstrate that LIBS combined with multivariate nonlinear calibration method can be used to quantitative analysis of Mn in soil.
汪 萍1, 李队员2 . 激光诱导击穿光谱结合多元非线性方法定量分析土壤中锰 [J]. 光谱学与光谱分析, 2016, 36(04): 1197-1201.
WANG Ping1, LI Dui-yuan2 . Quantitative Analysis of Mn in Soil Based on LIBS with Multivariate Nonlinear Method. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(04): 1197-1201.
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