Open AccessAccuracy improvement of quantitative analysis in laser-induced breakdown spectroscopy using modified wavelet transform
Author(s) -
Xiaoheng Zou,
Lianbo Guo,
Min Shen,
X. Y. Li,
Hao Zeng,
Qingdong Zeng,
Yongfeng Lu,
Z. M. Wang,
Xiaoyan Zeng
Publication year - 2014
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.22.010233
Subject(s) - laser induced breakdown spectroscopy , wavelet , calibration , mean squared error , materials science , wavelet transform , univariate , analytical chemistry (journal) , spectroscopy , approximation error , optics , root mean square , mathematics , laser , algorithm , physics , statistics , chemistry , computer science , multivariate statistics , artificial intelligence , chromatography , quantum mechanics
A modified algorithm of background removal based on wavelet transform was developed for spectrum correction in laser-induced breakdown spectroscopy (LIBS). The optimal type of wavelet function, decomposition level and scaling factor γ were determined by the root-mean-square error of calibration (RMSEC) of the univariate regression model of the analysis element, which is considered as the optimization criteria. After background removal by this modified algorithm with RMSEC, the root-mean-square error of cross-validation (RMSECV) and the average relative error (ARE) criteria, the accuracy of quantitative analysis on chromium (Cr), vanadium (V), cuprum (Cu), and manganese (Mn) in the low alloy steel was all improved significantly. The results demonstrated that the algorithm developed is an effective pretreatment method in LIBS to significantly improve the accuracy in the quantitative analysis.