Zhou Ying, Li Yuan-qian, Yang Jing-guo, Zheng Bo
West China School of Public Health, Sichuan University, Chengdu 610041, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2003 Apr;23(2):374-6.
The simultaneous determination of copper and iron by catalytic kinetic spectrophotometric method with back propagating artifical neural net (BP-ANN) was studied based on the catalysis of Cu(II) and Fe(III) to the reaction of rhodamine B hydrogen peroxide in the range of pH 3-9. The determination was performed by the construction of pH gradient and a CCD-diode array detector with a microcomputer. The optimum conditions of reaction and flow injection were studied. The determination limits for copper and iron were 0.10 and 0.21 microgram.L-1, respectively. The sampling rate was 10 samples per hour. The proposed method has been used to determine Cu(II) and Fe(III) in certified reference materials and food samples with satisfactory results. The average values of spiked recovery were 93.3%-100.2% with RSD of 0.6%-7.5%.
基于铜（II）和铁（III）在pH 3 - 9范围内对罗丹明B - 过氧化氢反应的催化作用，研究了利用反向传播人工神经网络（BP - ANN）催化动力学分光光度法同时测定铜和铁。通过构建pH梯度以及使用带有微型计算机的电荷耦合器件 - 二极管阵列检测器进行测定。研究了反应和流动注射的最佳条件。铜和铁的测定限分别为0.10和0.21微克·升⁻¹。采样速率为每小时10个样品。所提出的方法已用于测定标准参考物质和食品样品中的铜（II）和铁（III），结果令人满意。加标回收率的平均值为93.3% - 100.2%，相对标准偏差为0.6% - 7.5%。
