【摘要】 将毛细管电泳与遗传算法优化输入变量下的径向基函数神经网络法相结合用于定量解析重叠的毛细管电泳图,以解决多组分检测过程中不能完全分析的问题.以毛细管电泳方法结合神经网络法同时定量检测难分离的苯二酚、苯酚和对硝基苯酚为例,研究结果表明:毛细管电泳-遗传算法优化输入变量下的径向基函数神经网络法无需完全分离即可实现对难分离多组分同时、准确的定量检测,适用于环境监测、毒理分析以及食品检验等.更多还原

【Abstract】 The capillary electrophoresis(CE) with radial basis function artificial neural network based on genetic algorithm was used in quantitative resolution in overlapped CE peaks.The method was effective for solving the incomplete separation in the course of the multi-component quantitative analysis.As an example,simultaneous determination of the dihydroxyhenzene isomers,phenol and p-nitrophenol by capillary electrophoresis with radial basis function artificial neural network based on genetic algorithm was examined.The calculation showed that the analytical method was rapid,simple and highly sensitive for the determination of five dihy dihydroxyhenzene isomers,phenol and p-nitrophenol in water samples without complete separation.The method was convenient for routine assays and pharmacokinetic studies.更多还原