Background removal in soil analysis using laser-induced breakdown spectroscopy combined with standard addition method

被引：82
作者：
Yi, R. X. [1 ]
Guo, L. B. [1 ]
Zou, X. H. [1 ]
Li, J. M. [1 ]
Hao, Z. Q. [1 ]
Yang, X. Y. [1 ]
Li, X. Y. [1 ]
Zeng, X. Y. [1 ]
Lu, Y. F.
机构：
[1] Huazhong Univ Sci & Technol, WNLO, Wuhan 430074, Hubei, Peoples R China
来源：
OPTICS EXPRESS | 2016年 / 24卷 / 03期
基金：
中国国家自然科学基金;
关键词：
WAVELET TRANSFORM; QUANTITATIVE-ANALYSIS; LIBS; METALS;
D O I：
10.1364/OE.24.002607
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The matrix effect of powder samples, especially for soil samples, is significant in laser-induced breakdown spectroscopy (LIBS), which affects the prediction accuracy of the element concentration. In order to reduce this effect of the soil samples in LIBS, the standard addition method (SAM) based on background removal by wavelet transform algorithm was investigated in this work. Five different kinds of certified reference soil samples (lead (Pb) concentrations were 110, 283, 552, 675, and 1141 ppm, respectively) were used to examine the accuracy of this method. The root mean square error of prediction (RMSEP) was more than 303 ppm by using the conventional calibration method. After adoption of SAM with background removal by wavelet transform algorithm, the RMSEP was reduced to 25.7 ppm. Therefore, the accuracy of the Pb element was improved significantly. The mechanism of background removal by wavelet transform algorithm based on SAM is discussed. Further study demonstrated that this method can also improve the predicted accuracy of the Cd element. (C) 2016 Optical Society of America
引用
收藏
页码：2607 / 2618
页数：12
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