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DETERMINATION OF COPPER,ZINC,CADMIUM AND LEAD IN WATER USING CO-PRECIPITATION METHOD AND RAMAN SPECTROSCOPY

测定铜,锌,镉和铅的水分利用共沉淀法和拉曼光谱

作     者:YANDE LIU YU SHI LIJUN CAI YONG HAO CHUNJIANG ZHAO 

作者机构:Institute of Optics-Mechanics-Electronics Technology and Application(OMETA)East China Jiaotong University Nanchang 330013P.R.China School of Mechanical and Electronical Engineering East China Jiaotong University Nanchang 330013P.R.China National Engineering Research Center for Information Technology in Agriculture Beijing 100097P.R.China 

出 版 物:《Journal of Innovative Optical Health Sciences》 (创新光学健康科学杂志(英文))

年 卷 期:2013年第6卷第3期

页      面:58-65页

核心收录:

学科分类:081704[工学-应用化学] 07[理学] 070304[理学-物理化学(含∶化学物理)] 08[工学] 0817[工学-化学工程与技术] 0703[理学-化学] 

基  金:The authors gratefully acknowledge the financial support provided by National Science and Tech-nology Support Program(31160250,61178036 and 21265006) Ganpo excellence project 555 Talent Plan of Jiangxi Province(2011-64) Center of Photoelectric Detection Technology Engineering of Jiangxi Province(2012-155) 

主  题:Raman spectroscopy co-precipitation heavy metals partial least squares regression 

摘      要:Mn co-precipitation method combined with Raman spectroscopy were used to detenmine trace heavy metals(copper,zinc,cadmium and lead)in water *** concentrations of heavy metals including copper,zinc,cadmiun and lead in water samples were separated and enriched by Mn^(2+)-phen SCN-ternary complex 0o-precipitation *** Raman spectra of co-precipitation sediments were collected using confocal micro-Raman *** preprocessing treatments and regression calibration methods were *** best models using partial least squares regression(PLS)of copper,zinc,cadmium and lead were built with a correlation cofficient of prediction(R_(p))of 0.979,0.964,0.956 and 0972,respectively,and the root mean square error of prediction(RMSEP)of 6.587,9.046,9.998 and 7.751 pug/kg,*** co-precipitation procedure combined with Raman spectroscopy method are feasible to detect the amount of heavy metals in water.

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