Journal of Applied Optics, Volume. 43, Issue 3, 538(2022)

Baseline correction algorithm for laser-induced breakdown spectroscopy

Gaowei PAN1...2, Jinfang SHI1,2,*, Rong QIU1, Huili WANG1, Qing WAN3, Zhiwei ZHANG1 and Kai WANG1 |Show fewer author(s)
Author Affiliations
  • 1Joint Laboratory for Extreme Conditions Matter Properties, Southwest University of Science and Technology, Mianyang 621010, China
  • 2School of Manufacturing Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China
  • 3Teaching and Research Assurance Center, Army Logistics University of PLA, Chongqing 401331, China
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    Aiming at the problem of periodic arch protrusion in laser-induced breakdown spectroscopy (LIBS) data, an improved baseline correction algorithm was proposed. By adjusting the local penalty coefficients, the algorithm which was based on penalized least square method could not only fit the periodic arch protrusion, but also reduce the effect of spectral lines intensity on fitting baseline. Compared with other baseline correction methods, the root-mean-square error (RMSE) of the proposed algorithm was smaller when fitting the simulation baseline, and the correlation coefficients of the calibration curve based on spectral data obtained by the proposed algorithm reached 0.997 2. The results show that compared with the existing baseline removal method, the proposed algorithm can better retain the effective information of the spectral data when the echelle grating spectrometer collecting the baseline of LIBS.

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    Gaowei PAN, Jinfang SHI, Rong QIU, Huili WANG, Qing WAN, Zhiwei ZHANG, Kai WANG. Baseline correction algorithm for laser-induced breakdown spectroscopy[J]. Journal of Applied Optics, 2022, 43(3): 538

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    Paper Information

    Category: LASER TECHNOLOGY

    Received: Nov. 10, 2021

    Accepted: --

    Published Online: Jun. 7, 2022

    The Author Email: SHI Jinfang (603071939@qq.com)

    DOI:10.5768/JAO202243.0307002

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