Accuracy improvement of quantitative analysis in laser-induced breakdown spectroscopy using modified wavelet transform

X. H. Zou; L. B. Guo; M. Shen; X. Y. Li; Z. Q. Hao; Q. D. Zeng; Y. F. Lu; Z. M. Wang; X. Y. Zeng

doi:10.1364/OE.22.010233

Accuracy improvement of quantitative analysis in laser-induced breakdown spectroscopy using modified wavelet transform

X. H. Zou, L. B. Guo, M. Shen, X. Y. Li, Z. Q. Hao, Q. D. Zeng, Y. F. Lu, Z. M. Wang, X. Y. Zeng

Research output: Contribution to journal › Article › peer-review

61 Scopus citations

Abstract

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 ? were determined by the root-meansquare 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 rootmean- 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.

Original language	English (US)
Pages (from-to)	10233-10238
Number of pages	6
Journal	Optics Express
Volume	22
Issue number	9
DOIs	https://doi.org/10.1364/OE.22.010233
State	Published - 2014
Externally published	Yes

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics

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10.1364/OE.22.010233

Cite this

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title = "Accuracy improvement of quantitative analysis in laser-induced breakdown spectroscopy using modified wavelet transform",

abstract = "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 ? were determined by the root-meansquare 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 rootmean- 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.",

author = "Zou, {X. H.} and Guo, {L. B.} and M. Shen and Li, {X. Y.} and Hao, {Z. Q.} and Zeng, {Q. D.} and Lu, {Y. F.} and Wang, {Z. M.} and Zeng, {X. Y.}",

year = "2014",

doi = "10.1364/OE.22.010233",

language = "English (US)",

volume = "22",

pages = "10233--10238",

journal = "Optics Express",

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publisher = "Optica Publishing Group (formerly OSA)",

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T1 - Accuracy improvement of quantitative analysis in laser-induced breakdown spectroscopy using modified wavelet transform

AU - Zou, X. H.

AU - Guo, L. B.

AU - Shen, M.

AU - Li, X. Y.

AU - Hao, Z. Q.

AU - Zeng, Q. D.

AU - Lu, Y. F.

AU - Wang, Z. M.

AU - Zeng, X. Y.

PY - 2014

Y1 - 2014

N2 - 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 ? were determined by the root-meansquare 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 rootmean- 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.

AB - 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 ? were determined by the root-meansquare 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 rootmean- 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.

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Accuracy improvement of quantitative analysis in laser-induced breakdown spectroscopy using modified wavelet transform

Abstract

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