人工神经网络紫外分光光度法同时测定复方阿司匹林片3组分的含量  

Simultaneous determination of the three components in compound aspirin tablets by artificial neural networks and ultraviolet spectrophotometry

作　　者：周漩[1] 陈晓颖[1] 钟兆健[1] 

机构地区：[1]广东药学院药物分析教研室,广东广州510006

出　　处：《广东药学院学报》2008年第6期575-577,共3页Academic Journal of Guangdong College of Pharmacy

摘　　要：目的在不经分离的情况下,用紫外分光光度法同时测定复方阿司匹林片中的3个组分的含量。方法采用人工神经网络法,取已知浓度的咖啡因、阿司匹林、非那西丁标准溶液按不同比例混合生成合成样品,以合成样品的不同波长下的吸光度值作为网络输入值,3组分的量为输出值,训练网络并预测复方阿司匹林片中3组分的含量。结果复方阿司匹林片中阿司匹林、非那西丁和咖啡因的平均回收率分别为98.7%、101.4%、100.4%,RSD值分别为0.7%、1.5%、2.1%。结论人工神经网络有较强的预测能力,能不经分离同时测定复方阿司匹林片中的3组分。Objective To establish a method for simultaneous determination of the three components,aspirin,phenacetin and caffeine in compound aspirin tablets.Methods The quantity of combined samples were applied as input and the absorbancy were applied as output to train the artificial neural network.Results The average recovery of aspirin,phenacetin and caffeine were 98.7%,101.4% and 100.4%,respectively.Conclusion The artificial neural network combined with spectrophotometry is a good method for simultaneous determination of the three components in compound aspirin tablets.

关 键 词：人工神经网络 紫外分光光度法 复方阿司匹林片 

分 类 号：R927.2[医药卫生—药学]