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机构地区:[1]安庆师范学院化学化工学院 [2]安徽省桐城师范高等专科学校理工系,安徽省桐城市龙眠西路58号231400
出 处:《光谱实验室》2013年第5期2113-2116,共4页Chinese Journal of Spectroscopy Laboratory
基 金:安徽省教育厅自然科学基金资助项目(2006kj120B)
摘 要:研究了在pH为2的Na2SO4-N aHSO4体系中,铁(Ⅲ)催化溴酸钾氧化酸性铬蓝K反应。在524nm波长处,控制适当的反应条件,揭示反应的速度常数lg(A0/At)与铁(Ⅲ)浓度和反应时间有关系,采用三层Levenberg-Marquardt(LM)优化BP神经网络处理实验数据,确定的训练目标为平均误差平方MSE等于0.01。试验了最佳反应和测定条件,建立了高灵敏度的催化动力学光度法测定痕量铁(Ⅲ)的新方法。方法选择性好、操作简便快速,结果准确可靠。此方法实现了合成样品和人发中铁的测定,获得满意的结果。At pH 2 buffer solution of NazSO4-NaHSO4 medium, Fe3+ can strongly catalysis bromic acid potassium oxidation acidic chromium blue K fading reaction was discovered. At 524nm wavelength,controlling the suitable condition,the reacting constant of log (Ao/A,) relation with iron ionic concentration and reaction time was mensurated. Using three layer LM optimize BP neural network treatment the experimental data,the goal of training was confirmed equals 0.01 for the mean square of error (MSE). The optimize experimental condition have studied, have set up the high sensitivity new method of determining the trace Fea+ bf catalysis dynamics photometric method, selectivity of the method is good, operation is simple and fast, the result is accurate reliable. This method is used to iron of simulation sample and peoples' hair,the satisfactory result was obtained.
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