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  • Received: Jan. 9, 2019

    Accepted: Feb. 17, 2019

    Posted: Jul. 1, 2019

    Published Online: Jul. 12, 2019

    The Author Email: Lu Jingqi (lujingqi@whut.edu.cn)

    DOI: 10.3788/LOP56.143001

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    Zijun Wu, Jingqi Lu, Jian Huang, Dewei Cheng. Pb Detection in Paint Coatings Through Combined Laser-Induced Breakdown Spectroscopy and CARS Variable Screening[J]. Laser & Optoelectronics Progress, 2019, 56(14): 143001

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Laser & Optoelectronics Progress, Vol. 56, Issue 14, 143001 (2019)

Pb Detection in Paint Coatings Through Combined Laser-Induced Breakdown Spectroscopy and CARS Variable Screening

Wu Zijun, Lu Jingqi*, Huang Jian, and Cheng Dewei

Author Affiliations

  • School of Science, Wuhan University of Technology, Wuhan, Hubei 430070, China

Abstract

Laser-induced breakdown spectroscopy (LIBS) was applied in this study to quantitatively detect heavy metal lead (Pb) in paint coatings. By optimizing experimental parameters, the plasma spectrum of the paint coating within 308-417 nm was collected using a multi-channel spectrometer. Univariate and multivariate linear regression together with competitive adaptive reweighted sampling-partial least squares (CARS-PLS) analyses were later performed on the obtained Pb data of paint coatings to achieve more accurate quantitative results. Among the three analytical models, CARS-PLS displayed the highest accuracy; the determination coefficient of the calibration set was 0.991, and the relative errors of 4# and 7# of the predicted samples were 1.4% and 1.5%, respectively. Thus, CARS variable screening effectively screened important Pb-related data, and accurately detected Pb in the paint coating when combined with PLS.

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