紫外分光光度法-人工神经网络在4种嘌呤同时测定中的应用  

Application of Ultraviolet Spectrophotometry-artificial Neural Network in the Simultaneous Determination of Purines

作　　者：李楠[1] 马成有[2] 程庆红[1] 王英华[1] 

机构地区：[1]吉林大学化学学院,长春130012 [2]吉林大学公共教学中心,长春130012

出　　处：《吉林大学学报（理学版）》2007年第5期865-867,共3页Journal of Jilin University:Science Edition

基　　金：国家自然科学基金(批准号:29975004)

摘　　要：将紫外分光光度法与人工神经网络相结合，在波长200～300nm不经分离同时测定腺嘌呤、黄嘌呤、次黄嘌呤和鸟嘌呤的混合物．讨论了pH值对体系的影响，并对网络参数进行选定．方法简便、快速，相对标准偏差小于3．7％．Ultraviolet spectrophotometry combined with artificial neural network can be used to determine simultaneously. Adenine, xanthine, hypoxanthine and guanine at spectra wavelength from 200 - 300 nm. The effect of pH on the absorbanee of the system was discussed, and the parameters of network were selected. The method is simple and rapid and RSD is less than 3.7%.

关 键 词：嘌呤 紫外分光光度法 人工神经网络 同时测定 

分 类 号：O657[理学—分析化学]