Quantitative analysis of laser-induced breakdown spectroscopy of Pb in water using particle swarm optimization algorithm

Luogeng Sun,Ming Zhu,Xiao Peng,Menghan Wang,Qi Wang,Lixin Liu,Junle Qu

doi:10.1109/ogc.2015.7336840

Quantitative analysis of laser-induced breakdown spectroscopy of Pb in water using particle swarm optimization algorithm

Luogeng Sun, Ming Zhu + Show 5 more

https://doi.org/10.1109/ogc.2015.7336840

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Publication Date: Aug 1, 2015

Citations: 5

Affiliation: Shenzhen University, Xidian University

#Particle Swarm Optimization Algorithm #Particle Swarm Optimization + Show 8 more

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Abstract

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(NO 3 ) 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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