Quantitative Analysis of Laser-Induced Breakdown Spectroscopy of Pb in Water Using Particle Swarm Optimization Algorithm

被引：0
|
作者：
Sun, Luogeng [1 ]
Liu, Lixin [1 ]
Zhu, Ming [2 ]
Wang, Menghan [2 ]
Wang, Qi [2 ]
Peng, Xiao [2 ]
Qu, Junle [2 ]
机构：
[1] Xidian Univ, Sch Phys & Optoelect Engn, Xian 710071, Peoples R China
[2] Shenzhen Univ, Coll Optoelect Engn, Minist Educ & Guangdong Prov, Key Lab Optoelect Devices & Syst, Shenzhen 518060, Peoples R China
来源：
2015 OPTOELECTRONICS GLOBAL CONFERENCE (OGC) | 2015年
关键词：
Laser induced breakdown spectroscopy; Particle swarm optimization (PSO); Pb concentration;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this study, a particle swarm optimization (PSO) algorithm was implemented to quantitatively analyze the Lead (Pb) concentration in water. Thirty-five samples with different concentrations of Pb(NO3)(2) were detected by laser-induced breakdown spectroscopy (LIBS). The strong spectral line of 405.78 nm was selected as the analytical line. The PSO algorithm was created, trained and tested by I-Pb. The results have shown that PSO algorithm has many advantages. The Mean Relative Error Percentage (MREP) and the Relative Standard Deviation (RSD) of the test results obtained by PSO algorithm are better than those obtained by Genetic Algorithms (GA) and Ant Colony Optimization algorithm (ACO).
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页数：3
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