Research on automatic analysis system of laser induced breakdown spectroscopy based on LabVIEW

ChenXing Zhang; HongLian Li; Yan Meng; LiDe Fang

doi:10.1117/12.2640352

1 August 2022 Research on automatic analysis system of laser induced breakdown spectroscopy based on LabVIEW

ChenXing Zhang, HongLian Li, Yan Meng, LiDe Fang

Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 122574A (2022) https://doi.org/10.1117/12.2640352
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China

Abstract

In order to simplify the data processing process of laser induced breakdown spectroscopy (LIBS)spectral detection system. In this paper, a LIBS automatic spectral detection system based on LabVIEW is designed and applied to the quantitative analysis of Cr element in aqueous solution. The LIBS automatic spectral detection system includes four parts: wavelet noise reduction, spectral peak detection, spectral line recognition and quantitative analysis. The collected spectral data are filtered and denoised by LabVIEW combined with MATLAB, and the spectral line recognition and peak detection are realized by second derivative and threshold method. The qualitative and quantitative analysis of metal elements in the mixed solution was realized by gelatin solidification method combined with LIBS automatic spectrum detection system. The detection results showed that the mixed solution contained Fe, Cu and Cr three kinds of metal elements. The Cr calibration curve R2 was 0.962, and the relative error was 1.92027%. The research shows that the system is simple and fast, and can be widely used in LIBS spectral detection and analysis of various samples.

Citation Download Citation

ChenXing Zhang, HongLian Li, Yan Meng, and LiDe Fang "Research on automatic analysis system of laser induced breakdown spectroscopy based on LabVIEW", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122574A (1 August 2022); https://doi.org/10.1117/12.2640352

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KEYWORDS

Laser induced breakdown spectroscopy

Chemical elements

Denoising

Quantitative analysis

Wavelets

LabVIEW

Analytical research

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