摘要
在硫酸介质中,Fe（Ⅲ）能够催化H2O2氧化中性红褪色反应,邻苯二酚和间苯二胺均能阻抑该催化氧化褪色反应的速度。研究发现,二者对Fe（Ⅲ）催化H2O2氧化中性红褪色反应阻抑作用不具有加和性。根据这一现象,采用人工神经网络处理非线性体系的优势进行数据处理,建立了一种新的测定邻苯二酚和间苯二胺混合物的人工神经网络阻抑动力学光度法。对5组混合样品进行测定,回收率为96.8%-104.4%。
It has been observed that pyrocatechol and m-phenylenediamin can sensitively inhibit the discoloration of neutral red oxidation by H2O2 in the presence of catalyst Fe（ Ⅲ ） in dilute sulfuric acid solution. The inhibitory effects of the two organic compounds do not show additive properties. Based on this result, the advantages of artificial neural network were adopted to handle the experimental data and a new inhibitory kinetic spectrophotometry assisted with artificial neural networks for the simultaneous determination of pyrocatechol and m-phenylenediamin was established. The method has been applied to simultaneously determine 5 groups of pyrocatechol and m-phenylenediamin with results of recoveries from 96.8% to 104.4%, respectively.
出处
《应用化学》
CAS
CSCD
北大核心
2009年第6期734-737,共4页
Chinese Journal of Applied Chemistry
基金
安徽省科技厅重点计划科研项目(0302325)
安徽工程科技学院青年基金资助项目(2004YQ005)
关键词
动力学光度法
人工神经网络
邻苯二酚
间苯二胺
kinetic-spectropholometry,artificial neural network, pyrocatechol, m-phenylene diamin
