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Proceedings Paper

Dual pulse laser induced breakdown spectroscopy on Cu concentration in CuSO4 solution with liquid jet
Author(s): Yawei Zhang; Xun Gao; Hongbo Zhu; Jinliang Han
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Paper Abstract

Laser induced breakdown spectroscopy (LIBS) is a promising technique, analyzing spectrum of plasma, to detect elements of solid, liquid or gaseous samples. It has many advantages, including in-situ and online detection, remote analysis, non-preparation of samples, and simultaneously multi-elements detection. Aiming at detecting detrimental elements in the polluted river and water, in this paper, collinear dual-pulse (DP) Laser-induced breakdown spectroscopy (LIBS) with liquid jet was employed to analyze emission spectrum of Cu element in the CuSO4 solution. We investigated the effect of laser pulse energies ratio and time delay between two lasers on signal intensity, which were simply given by theoretical model in laser-induced plasma for explaining various behaviors of emission spectrum. It was inferred that the maximum signal enhancement of DP-LIBS experiment was roughly 4.5 times greater than that of SP case. The limit of detection (LOD) of Cu using DP-LIBS was approximately 15 times lower than that of SP-LIBS. Results of this research indicate that collinear DP-LIBS is an effective approach to improve the plasma emission intensity and reduce the value of LOD, the application of which can be considered into the environmental problem of the water pollution.

Paper Details

Date Published: 24 October 2017
PDF: 9 pages
Proc. SPIE 10461, AOPC 2017: Optical Spectroscopy and Imaging, 1046105 (24 October 2017); doi: 10.1117/12.2281442
Show Author Affiliations
Yawei Zhang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Xun Gao, Changchun Univ. of Science and Technology (China)
Hongbo Zhu, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Jinliang Han, Changchun Institute of Optics, Fine Mechanics and Physics (China)


Published in SPIE Proceedings Vol. 10461:
AOPC 2017: Optical Spectroscopy and Imaging
Jin Yu; Zhe Wang; Wei Hang; Bing Zhao; Xiandeng Hou; Mengxia Xie; Tsutomu Shimura, Editor(s)

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