傅应强, 方佳佳, 严谨, 马森, 唐定兴. 人工神经网络催化动力学光度法同时测定硒和铁[J]. 分析测试技术与仪器, 2017, 23(4): 201-207. DOI: 10.16495/j.1006-3757.2017.04.001
引用本文: 傅应强, 方佳佳, 严谨, 马森, 唐定兴. 人工神经网络催化动力学光度法同时测定硒和铁[J]. 分析测试技术与仪器, 2017, 23(4): 201-207. DOI: 10.16495/j.1006-3757.2017.04.001
FU Ying-qiang, FANG Jia-jia, YAN Jin, MA Sen, TANG Ding-xing. Artificial Neural Network and Kinetic Spectrophotometric Determination of Selenium and Iron[J]. Analysis and Testing Technology and Instruments, 2017, 23(4): 201-207. DOI: 10.16495/j.1006-3757.2017.04.001
Citation: FU Ying-qiang, FANG Jia-jia, YAN Jin, MA Sen, TANG Ding-xing. Artificial Neural Network and Kinetic Spectrophotometric Determination of Selenium and Iron[J]. Analysis and Testing Technology and Instruments, 2017, 23(4): 201-207. DOI: 10.16495/j.1006-3757.2017.04.001

人工神经网络催化动力学光度法同时测定硒和铁

Artificial Neural Network and Kinetic Spectrophotometric Determination of Selenium and Iron

  • 摘要: 在酸性介质中,硒(Ⅳ)和铁(Ⅲ)同时催化H2O2氧化二甲基黄褪色反应.研究发现:两者对H2O2氧化二甲基黄褪色反应的催化作用不具有加和性.根据这一现象,结合人工神经网络,建立了一种新的不经分离可同时测定硒(Ⅳ)和铁(Ⅲ)混合物中硒(Ⅳ)和铁(Ⅲ)各自含量的分析方法.方法应用于合成样品及烟草样品中硒(Ⅳ)和铁(Ⅲ)的测定,结果满意.

     

    Abstract: Selenium(Ⅳ) and iron(Ⅲ) can catalyze the oxidation of dimethyl yellow discoloration reaction by hydrogen peroxide under acidic conditions. It also found that the catalytic effects of the two ions have no additive properties. Based on this research, the advantages of artificial neural network were adopted to handle the experimental data and a new catalytic kinetic spectrophotometric method for the simultaneous determination of selenium(Ⅳ) and iron(Ⅲ) with artificial neural network was established. The best reaction conditions were discussed and the structure of the neural networks was optimized. The recovery were between 95%~105% of the determination in synthetic samples and the results showed that the method is sensitive, accurate and suitable for the determination of selenium and iron in tobacco samples.

     

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