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同时测定粮谷中痕量锰铁铜锌的人工神经网络辅助分光光度法
引用本文:侯晋,陈国松,王镇浦.同时测定粮谷中痕量锰铁铜锌的人工神经网络辅助分光光度法[J].分析测试学报,2001,20(2):9-12.
作者姓名:侯晋  陈国松  王镇浦
作者单位:1. 南通出入境检验检疫局综合技术中心,
2. 南京化工大学应用化学系,
基金项目:国家商检局资助项目,江苏省自然科学基金,K9801,41042,,
摘    要:在pH 9.5时,Mn(Ⅱ )、 Fe(Ⅲ )、 Cu(Ⅱ )和 Zn(Ⅱ )均与 2-(5-溴-2-吡啶偶氮 )-5-二乙氨基苯酚和非离子表面活性剂聚乙二醇辛基苯基醚发生高灵敏的显色反应,生成稳定的三元胶束络合物 ,其λ max分别为 566、 560、 562和 559 nm,表明吸收光谱严重重叠 ; 在相应λ max处,其表观摩尔吸光系数分别为 1.13× 105、 7.32× 104、 1.02× 105和 1.04× 105 L· mol- 1· cm- 1。用模拟退火-误差反向传播人工神经网络辅助分光光度法,不经分离,同时测定了模拟样和粮谷样中的痕量锰、铁、铜和锌。详细研究了该算法的最佳计算条件。虽然体系的加和性较差,但由于该算法的优良性能,仍然取得了满意结果。

关 键 词:        分光光度法  人工神经网络  模拟退火算法  粮谷  痕量分析
文章编号:1004-4957(2001)02-0009-04

Simultaneous Determination of Trace Manganese, Iron, Copper and Zinc Using Spectrophotometry Assisted by Artificial Neural Network Algorithm
HOU Jin,CHEN Guo-song,WANG Zhen-pu.Simultaneous Determination of Trace Manganese, Iron, Copper and Zinc Using Spectrophotometry Assisted by Artificial Neural Network Algorithm[J].Journal of Instrumental Analysis,2001,20(2):9-12.
Authors:HOU Jin  CHEN Guo-song  WANG Zhen-pu
Abstract:All of Mn(Ⅱ ),Fe(Ⅲ ),Cu(Ⅱ ) and Zn(Ⅱ ) react sensitively with 2 _(5 _ bromo _ 2 _ pyridylazo) _ 5 _ diethylaminophenol and p _ octylpolyethyleneglycol phenylether,a non _ ionic surfactant,at pH 9.5 to form the stable ternary micellar complexes.Their λ max are at a wavelength of 566,560,562 and 559 nm,respectively.This indicated that their absorption spectra were seriously overlapped.Their apparent molar absorptivities are 1.13× 105,7.32× 104,1.02× 105 and 1.04× 105 L· mol- 1· cm- 1,respectively at their corresponding λ max.The simulated annealing- back propagation of error- artificial neural network algorithm has been applied to simultaneously determine trace manganese,iron,copper and zinc in simulated samples and grain samples by spectrophotometry without separation.The optimum computational conditions were studied in detail.Although additivity of the system is poor,the satisfactory results have been still achieved because of the excellent feature of the algorithm.
Keywords:Manganese  Iron  Copper  Zinc  Spectrophotometry  Artificial neural network  Simulated annealing algorithm  Grain
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