人工神经网络流动注射化学发光法同时测定金和铂  

Simultaneous Determination of Au and Pt by Artificial Neural Network Combined with Flow Injection-chemiluminescence

作　　者：刘名扬[1] 王红霞[1] 邹秀晶[1] 钱维仙[1] 张海涛[1] 陈淑桂[1] 王洪艳[1] 

机构地区：[1]吉林大学化学学院应用化学系,长春130026

出　　处：《吉林大学学报（理学版）》2005年第2期204-208,共5页Journal of Jilin University:Science Edition

基　　金：国土资源部中国地质调查项目基金(批准号:20002010008026)

摘　　要：将人工神经网络和流动注射化学发光法相结合,建立了一种不需要分离、同时测定痕量金和铂的方法.LuminolH2O2作发光剂,阳离子交换树脂和掩蔽剂EDTA在线消除干扰离子的影响,用人工神经网络解析Au和Pt混合化学发光动力学曲线.Au和Pt的检出限分别为1.58×10-6mmol/L和2.00×10-3mmol/L,相对标准偏差分别为1.25%和1.59%.模拟混合样的分析误差小于20%.An on-line and sensitive artificial neural network (ANN) analysis combined with flow injection-chemiluminescence (FI-CL) was developed to determine the trace amounts of Au and Pt simultaneously, without the boring process of separating them. Luminol- H_2O_2 was used as the luminescent reagent. After separation of the most metal ions by cationic exchange resin on-line, EDTA was used as the mask to dispel the effect of residual interference elements. The positions of the catalyzing peak of the luminescence kinetic curve of {Au and} Pt are different, which is the basis of the simultaneous determination by ANN. The detection limits of {Au and} Pt were 1.58× 10 -6 mmol/L and 2.00× 10 -3 mmol/L, respectively, and the relative standard {deviation (RSD) } were 1.25% and 1.59%. The relative error (RE) of detecting mixed samples is less than 20%.

关 键 词：人工神经网络 流动注射 化学发光 金 铂 

分 类 号：O651[理学—分析化学]