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Resolution and analysis of overlapping Raman signals based on particle swarm optimization algorithm


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Resolution and analysis of overlapping Raman signals based on particle swarm optimization algorithm
Zhang Li1Lu Jingui1Cao Lingyan2Yu Zhengwei2Cheng Mingxiao2
1.School of Mechanical and Power Engineering; 2.School of Automation and Electrical Engineering, Nanjing University of Technology,Nanjing 210009,China
Raman signals Raman spectrum overlapping spectrum peak particle swarm optimization algorithm multi-components aromatics isomers on-line measurement quantitative analysis
In the application of the Raman spectroscopy technology,the status of the spectrum peaks overlapping is inevitable.In order to resolve and analyze the overlapping Raman signals speedily and quantificationally,the particle swarm optimization(PSO)algorithm is applied to Raman signal analysis.In this paper,the three ingredients Raman signals resolved aromatics isomers which comprise three ingredients(methylbenzene,1,2-dimethylbenzene,1,3-dimethylbenzene),four ingredients(methylbenzene,1,2-dimethylbenzene,1,3-dimethylbenzene,ethyl benzene)and two ingredients(methylbenzene,1,3-dimethylbenzene)respectively.The experimental results show that the analysis precision is up to many methods and the errors are less than 1%,even to 0.5%.The computing time is less than the methods in the literatures.The results show that the PSO can separate the overlapping Raman spectrum peak of all kinds of ingredients,and can analyze quickly each ingredient of the mixture efficaciously.The PSO is one of the effective methods for analyzing overlapping Raman signals in analytical process.


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Last Update: 2014-08-31