Quantitative accuracy improvement of laser-induced breakdown spectroscopy by a modified corner-cutting method for continuum background removal

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

2 Scopus Citations
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Author(s)

  • Zhenlin Hu
  • Junfei Nie
  • Feng Chen
  • Deng Zhang
  • Zhiyong Ouyang
  • Yanwu Chu
  • Lianbo Guo

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)2573-2580
Journal / PublicationJournal of Analytical Atomic Spectrometry
Volume37
Issue number12
Online published19 Oct 2022
Publication statusPublished - 1 Dec 2022

Abstract

As a popular elemental analysis technique, laser-induced breakdown spectroscopy (LIBS) has been applied in many fields, including coal analysis, nuclear industry, and deep-sea and Mars exploration. LIBS spectra have a continuum background (BG), which causes unsatisfactory analysis results, especially for calibration-free LIBS (CF-LIBS). In this work, we proposed a Moving-Average Corner-Cutting (MA-CC) method to remove BG in LIBS spectra. We compared MA-CC, Model-Free (MF), and Corner-Cutting (CC) methods by using simulated spectra, calibration curves of micro-alloyed steels, and CF-LIBS of a titanium alloy, respectively. For simulated spectra, MA-CC had the best performance in BG removal. For Ni I 345.85, Cr I 425.43, and Cu I 324.75/327.40 nm in micro-alloyed steels, the R2 values of calibration curves were more than 0.99, higher than those from MF and CC. The mean relative error of CF-LIBS results from MA-CC was 2.21%, higher than 2.36% and 2.32% of MF and CC, respectively. The results showed that the MA-CC method had the highest robustness and improved the quantitative accuracy based on calibration curves and CF-LIBS, which is significant for the further application and popularization of LIBS.

Research Area(s)

  • AUTOMATIC CORRECTION, SPECTROMETRY, EMISSION, LIBS

Citation Format(s)

Quantitative accuracy improvement of laser-induced breakdown spectroscopy by a modified corner-cutting method for continuum background removal. / Hu, Zhenlin; Nie, Junfei; Chen, Feng et al.
In: Journal of Analytical Atomic Spectrometry, Vol. 37, No. 12, 01.12.2022, p. 2573-2580.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review