摘要
研究发现:在pH=8的NaH2PO4-Na2HPO4的缓冲溶液中,邻苯二酚和间苯二酚都能明显的阻抑H2O2氧化灿烂甲酚蓝的褪色。但二者存在一定的速率差异,反应速率常数之比随时间而变化,且吸光度的加和性不佳。结合人工神经网络提出了1种能同时测定邻苯二酚和间苯二酚异构体的新方法。该方法无需预先分离或加入掩蔽剂等其他物质,最大限度保护样品不被破坏而较容易地直接进行有机物同分异构体的同时测定。本文研究了最佳反应和测定条件以及神经网络参数对网络性能的影响。并将该方法用于合成样品及水样中邻苯二酚和间苯二酚的测定,结果表明,精密度和准确度均满足分析要求。
In the buffer solution of pH=8 NaH2PO4-Na2HPO4,pyrocatechol and m-dihydroxy-benzene can both evident stifle H2O2 oxidation brilliant cresyl bule fading reaction was observed.But there was an obvious difference in their reaction rates,and the ratio of the reaction constant changed with time.And their spectral additive properties were not satisfactory.The new method was applied to the determination of pyrocatechol and m-dihydroxy-benzene based on Artificial Neural Network＇s by inhibitory kinetics spectrophotometry was established.This method does not need pre-separation or adding other substances,masking agents.It can protection of the sample not to be destroyed and more easily simultaneous determination of the organic isomers directly.This paper studies the optimal reaction and determination of conditions and the neural network parameters on network performance.And that the method has been applied in synthetic samples and water samples in the determination of pyrocatechol and m-dihydroxy-benzene results show that both precision and accuracy to meet the analytical requirements.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2010年第11期1535-1538,共4页
Computers and Applied Chemistry
基金
安徽省高等学校优秀青年人才基金项目资助(2009SQRZ095)
安徽省科技厅重点计划科研项目(No.0302325)
关键词
人工神经网络
邻苯二酚
间苯二酚
阻抑动力学光度法
artificial neural network
pyrocatechol
m-dihydroxy-benzene
inhibitory kinetic spectrophotometry
