Method on Elements Automatic Identification of Spectral Peaks in Laser-Induced Breakdown Spectroscopy

Tan Bing; Huang Min; Zhu Qibing; Guo Ya; Zhang Hongyang

doi:10.3788/CJL201845.0811002

Journals >Chinese Journal of Lasers >Volume 45 >Issue 8 >Page 811002 > Article

Chinese Journal of Lasers
Vol. 45, Issue 8, 811002 (2018)

Method on Elements Automatic Identification of Spectral Peaks in Laser-Induced Breakdown Spectroscopy

Tan Bing, Huang Min^*, Zhu Qibing, Guo Ya, and Zhang Hongyang

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[in Chinese]

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DOI: 10.3788/CJL201845.0811002 Cite this Article Set citation alerts

Tan Bing, Huang Min, Zhu Qibing, Guo Ya, Zhang Hongyang. Method on Elements Automatic Identification of Spectral Peaks in Laser-Induced Breakdown Spectroscopy[J]. Chinese Journal of Lasers, 2018, 45(8): 811002 Copy Citation Text

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Fig. 1. Diagram of overlapping spectrum

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Fig. 2. Simulated spectrum

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Fig. 3. (a) Spectrum after background correction; (b) spectrum after decomposition and reconstitution with Voigt function; (c) recognition results with the proposed method; (d) recognition results with window sliding correlation analysis method

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Fig. 4. Recognition results of the spectrum of Longjing green tea. (a) Background correction and spectral decomposition; (b) recognition results

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lgN_e	T /eV	Averagesimilarity	Recognitionnumber	lg(N_e)	T /eV	Averagesimilarity	Recognitionnumber
15	0.5	0.6926	27	18	0.5	0.6158	24
15	0.75	0.6598	25	18	0.75	0.6336	25
15	1	0.6466	25	18	1	0.6406	25
15	1.25	0.6720	26	18	1.25	0.6919	27
15	1.5	0.6501	25	18	1.5	0.6288	24
15	1.75	0.6228	24	18	1.75	0.6191	24
15	2	0.5994	24	18	2	0.6039	24
16	0.5	0.6639	26	19	0.5	0.6170	24
16	0.75	0.6320	25	19	0.75	0.6530	26
16	1	0.6512	25	19	1	0.6678	26
16	1.25	0.6193	24	19	1.25	0.6085	24
16	1.5	0.6216	24	19	1.5	0.6058	24
16	1.75	0.6320	25	19	1.75	0.6018	24
16	2	0.6921	27	19	2	0.5977	24
17	0.5	0.6183	24	20	0.5	0.6261	24
17	0.75	0.6367	24	20	0.75	0.6437	25
17	1	0.6639	25	20	1	0.6937	29
17	1.25	0.6756	26	20	1.25	0.6806	26
17	1.5	0.6883	26	20	1.5	0.6782	26
17	1.75	0.6838	27	20	1.75	0.6239	24
17	2	0.6929	28	20	2	0.6107	24

Table 1. Spectral peaks recognition results for simulating spectrum at different Ne and T

Spectral peak	Suspected elements and their similarity
1(247.85 nm)	CC=0.9224R=0.8163	FeC=0.3594R=0.2790	MnC=0.1069R=0.1258	CrC=0.1887R=0.0692	CoC=0.2255R=0.0816	HgC=0.1073R=0.1008	WC=0.0694R=0.0311
2(238.17 nm)	FeC=0.9068R=0.6375	LiC=0.1667R=0.1794	MnC=0.3223R=0.3522	CrC=0.1581R=0.2265	CoC=0.0176R=0.0805	CsC=0.0249R=0.0302	WC=0.0316R=0.0647
3(248.31 nm)	FeC=0.9671R=0.8990	MnC=0.1513R=0.4213	CrC=0.4086R=0.1008	TiC=0.2390R=0.2790	CoC=0.0625R=0.0618	TcC=0.0324R=0.0816	HgC=0.0309R=0.0311
4(249.07 nm)	NaC=0.8065R=0.7604	CrC=0.5577R=0.5780	FeC=0.4125R=0.4961	MnC=0.1525R=0.4254	CoC=0.1264R=0.2267	CdC=0.1308R=0.2158	WC=0.0675R=0.1861
5(239.48 nm)	LiC=0.7447R=0.4574	MnC=0.2373R=0.2451	FeC=0.3514R=0.2950	CoC=0.2375R=0.1133	TiC=0.1252R=0.1490	SbC=0.0123R=0.1490	WC=0.0076R=0.1091

Table 2. Recognition results of spectral peak

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