【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%.更多还原

【Abstract】 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- H₂O₂ 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%.更多还原