Issue 11, 2023

A spectral standardization method based on plasma image-spectrum fusion to improve the stability of laser-induced breakdown spectroscopy

Abstract

Laser-induced breakdown spectroscopy (LIBS) faces a notable obstacle in the presence of substantial spectral fluctuations, hindering its progress and prompting researchers to prioritize resolving this complex problem. Considering the circumstances above, a novel methodology referred to as spectral standardization based on plasma image-spectrum fusion (SS-PISF) was introduced. The approach utilizes the valuable information in plasma images and spectra to correct variations in total number density, plasma temperature, and electron number density, resulting in improved spectral stability. To ascertain the efficacy of the SS-PISF method, comprehensive experimental validation is conducted, comparing its performance against the full spectrum normalization method and the simplified spectral standardization method. Experimental tests on aluminum alloy samples demonstrate a remarkable improvement, with the determination coefficient (R2) value of calibration curves increasing by 25.307% after SS-PISF correction. Additionally, the root mean square error of validation (RMSEV) and standard deviation (STDV) experience a notable reduction by 28.374% and 2.323%, respectively. For alloy steel samples, the SS-PISF corrected calibration curves exhibit a 14.630% increase in R2 and a 17.303% decrease in STDV. Similarly, for ore pressed samples, the SS-PISF corrected calibration curves witness a 7.031% enhancement in R2, alongside a decrease in RMSEV and STDV by 21.939% and 4.726%, respectively. These empirical results substantiate the efficacy of the SS-PISF method in significantly improving the spectral stability of LIBS. As a result, SS-PISF holds substantial promise for widespread application in laser-induced breakdown spectroscopy.

Graphical abstract: A spectral standardization method based on plasma image-spectrum fusion to improve the stability of laser-induced breakdown spectroscopy

Supplementary files

Article information

Article type
Paper
Submitted
04 Aug. 2023
Accepted
11 Sept. 2023
First published
20 Sept. 2023

J. Anal. At. Spectrom., 2023,38, 2387-2395

A spectral standardization method based on plasma image-spectrum fusion to improve the stability of laser-induced breakdown spectroscopy

J. Nie, Y. Zeng, X. Niu, D. Zhang and L. Guo, J. Anal. At. Spectrom., 2023, 38, 2387 DOI: 10.1039/D3JA00266G

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