[1]张 利,陆金桂,曹玲燕,等.基于粒子群算法的重叠拉曼谱峰解析[J].南京理工大学学报(自然科学版),2014,38(04):501-505.
 Zhang Li,Lu Jingui,Cao Lingyan,et al.Resolution and analysis of overlapping Raman signals based on particle swarm optimization algorithm[J].Journal of Nanjing University of Science and Technology,2014,38(04):501-505.
点击复制

基于粒子群算法的重叠拉曼谱峰解析
分享到:

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
38卷
期数:
2014年04期
页码:
501-505
栏目:
出版日期:
2014-08-31

文章信息/Info

Title:
Resolution and analysis of overlapping Raman signals based on particle swarm optimization algorithm
作者:
张 利1陆金桂1曹玲燕2於拯威2程明霄2
南京工业大学 1.机械与动力工程学院; 2.自动化与电气工程学院,江苏 南京 210009
Author(s):
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
关键词:
拉曼信号 拉曼光谱 谱峰重叠 粒子群算法 多组分 芳烃异构体 在线测量 定量解析
Keywords:
Raman signals Raman spectrum overlapping spectrum peak particle swarm optimization algorithm multi-components aromatics isomers on-line measurement quantitative analysis
分类号:
TE622.1
摘要:
在拉曼光谱技术的应用推广中,检测样品拉曼谱峰的重叠是不可避免的。为了快速解析并定量分析重叠拉曼谱峰信号,该文将粒子群算法分别应用于三组分拉曼谱解析三组分(甲苯,邻二甲苯和间二甲苯)、解析四组分(甲苯,邻二甲苯,间二甲苯和和乙基苯)和解析两组分(邻二甲苯和间二甲苯)芳香烃混合物。实验结果表明:此方法具有较好的分析精度,对于实验中的多组分芳香烃的定量分析,其误差均小于1%,准确率最高可达99.5%,并且占用机时较少,符合在线测量要求。分析结果表明,粒子群算法不但适用于将多种重叠拉曼谱峰进行相互分离,而且可以快速完成各个成分的定量分析,是在线拉曼分析中解析重叠拉曼光谱信号的有效方法之一。
Abstract:
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.

参考文献/References:

[1] 程光煦.拉曼布里渊散射[M].北京:科学出版社,2008.
[2]田高友.拉曼光谱技术在石油化工领域应用进展[J].现代科学仪器,2009(4):131-132.
Tian Gaoyou.The progress of the technology of Raman applying in oil chemical engineering[J].Modern Science Instrument,2009(4):131-132.
[3]Marteau P,Zanier N.An application of Raman spec-troscopy in the petroleum industry[J].Spectroscopy,1995,10(7):26-29.
[4]吴国桢.拉曼谱学:峰强中的信息[M].北京:科学出版社,2007.
[5]李卫华,吕国伟,黄兰,等.阿司匹林合成过程的在线拉曼光谱研究[J].物理化学学报,2003,19(2):105-109.
Li Weihua,Lv Guowei,Huang Lan,et al.Aspirin synthesis on-line measurement by Raman spectroscopy[J].Acta Physico-Chimica Sinica,2003,19(2):105-109.
[6]陈晓红,张卫红,张倩芝,等.傅里叶变换红外光谱与拉曼光谱分析碳青霉烯药物亚胺培南的结构特征[J].光散射学报,2006,18(1):26-29.
Chen Xiaohong,Zhang Weihong,Zhang Qianzhi,et al.FTIR and Raman spectroscopic analysis on carbapenems antibiotics imipenem[J].The Journal of Light Scatter,2006,18(1):26-29.
[7]张雁,尹利辉,冯芳.拉曼光谱分析法的应用介绍[J].药物分析杂志,2009,29(7):1236-1241.
Zhang Yan,Yin Lihui,Feng Fang.Introduction for the application of Raman scattering method[J].Chinese Journal of Pharmaceutical Analysis,2009,29(7):1236-1241.
[8]Graft M,Nagli L.UV gated Raman spectroscopy for standoff detection of explosives[J].Optical Materials,2008,11(30):1739-1749.
[9]吴正洁,黄耀熊,王成,等.对强荧光背景拉曼光谱定量分析的研究[J].光谱学与光谱分析,2010,30(7):1798-1801.
Wu Zhengjie,Huang Yaoxiong,Wang Cheng,et al.Raman spectra quantitative analysis on materials with strong fluorescence background[J].Spectroscopy and Spectral Analysis,2010,30(7):1798-1801.
[10]李江,王晖,丁妍,等.免疫算法在重叠拉曼谱峰中的应用[J].化工自动化与仪表,2013,40(1):26-29.
Li Jiang,Wang Hui,Ding Yan,et al.Application of immune algorithm in overlapping Raman spectrum peak[J].Control and Instruments in Chemical Industry,2013,40(1):26-29.
[11]曹玲燕,程明霄,於拯威,等.基于自适应免疫算法重叠拉曼谱峰的解析[J].光谱学与光谱分析,2012,32(05):1262-1265.
Cao Lingyan,Cheng Mingxiao,Yu Zhengwei,et al.Resolution of overlapping Raman signals based on an adaptive immune algorithm[J].Spectroscopy and Spectral Analysis,2012,32(05):1262-1265.
[12]Eberhart R,Kennedy J.A new optimizer using particle swarm theory[A].Proceedings of the Sixth International Symposium on Micro Machine and Human Science[C].Nagoya,Japan:IEEE,1995:39-43.
[13]Zhang L,Lu J,Zhang J,et al.Particles swarm optimization algorithm for radio frequency identification network topology optimization[J].Int J Comput Sci Eng,2011,6(1-2):16-23.
[14]肖迪,葛启承,林锦国,等.一种双种群遗传粒子群算法及在SMB优化中的应用[J].南京理工大学报,2012,36(1):31-36.
Xiao Di,Ge Qicheng,Lin Jinguo,et al.Double populations genetic and particle swarm algorithm and its application in SMB optimization[J].Journal of Nanjing University of Science and Technology,2012,36(1):31-36.
[15]施展,陈庆伟.基于改进的多目标量子行为粒子群优化算法的多无人机协同任务分配[J].南京理工大学学报,2012,36(6):49-55.
Shi Zhan,Chen Qingwei.Cooperative task allocation for multiple UAVS based on improved multi objective quantum behaved particle swarm optimization algorithm[J].Journal of Nanjing University of Science and Technology,2012,36(6):49-55.
[16]倪永年.化学计量学在分析化学中的应用[M].北京:科学出版社,2004.
[17]甘露,罗立强,吴晓军.因子分析在X射线荧光光谱重叠谱峰识别中的应用[J].光谱学与光谱分析,2000,20(1):91-94.
Gan Lu,Luo Liqiang,Wu Xiaojun.Application of factor analysis to identification of overlapped spectrum in XRF[J].Spectroscopy and Spectral Analysis,2000,20(1):91-94.
[18]林锦国.在线拉曼光谱仪的研制及其在吸附分离装置优化中的应用[Z].国家“863”高技术研究发展计划项目,2009.

相似文献/References:

[1]贾红兵,祝丽娟,蒋静,等.改性多壁碳纳米管/溶聚丁苯硫化胶研究[J].南京理工大学学报(自然科学版),2010,(06):843.
 JIA Hong-bing,ZHU Li-juan,JIANG Jing,et al.Modified Multiwalled Carbon Nanotubes/Solution Styrene-butadiene Rubber[J].Journal of Nanjing University of Science and Technology,2010,(04):843.

备注/Memo

备注/Memo:
收稿日期:2013-04-09 修回日期:2014-05-21
基金项目:国家”863”计划资助项目(2009AA04Z161); 国家自然科学基金(61203072)
作者简介:张利(1975-),女,博士生,主要研究方向:自动控制及优化算法的分析,E-mail:zhanglinj@sohu.com; 通讯作者:陆金桂,(1966-),男,博士,教授,博士生导师,主要研究方向:智能优化和智能CAD,E-mail:lujg@njut.edu.cn。
引文格式:张利,陆金桂,曹玲燕,等.基于粒子群算法的重叠拉曼谱峰解析[J].南京理工大学学报,2014,38(4):501-505.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2014-08-31