CAJ | 학술논문

苯甲酸和水杨酸是中成药足光散的两种主要成分,使用毛细管区带电泳很难将这两种成分完全分离.寻找最优实验条件费时费力且成本高.本文应用径向基函数人工神经网络结合主成分分析处理苯甲酸和水杨酸的毛细管区带电泳重叠峰,无需对这两种酸完全分离则可准确测定足光散中两种酸的含量.测定两种酸的相对误差分别为2.662%和5.516%.这是一种简单可行的测定足光散中苯甲酸和水杨酸含量的方法.
분갑산화수양산시중성약족광산적량충주요성분,사용모세관구대전영흔난장저량충성분완전분리.심조최우실험조건비시비력차성본고.본문응용경향기함수인공신경망락결합주성분분석처리분갑산화수양산적모세관구대전영중첩봉,무수대저량충산완전분리칙가준학측정족광산중량충산적함량.측정량충산적상대오차분별위2.662%화5.516%.저시일충간단가행적측정족광산중분갑산화수양산함량적방법.
Benzoic acid and salicylic acid are two main components of Zuguangsan, a traditional Chinese patent medicine. It is difficult to separate the two acids with capillary zone electrophoresis (CZE) method. The purpose of this paper is to establish a method for determining the two acids in Zuguangsan with CZE. Artificial neural network (ANN) is a chemometric technique which can be applied to the quantification of compounds with poorly resolved peaks in electropherograms. In this paper, CZE combined with ANN was applied to the quantitative determination of the two acids in Zuguangsan, Satisfactory quantification results were obtained. The relative quantification error of benzoic acid and salicylic acid is 2.662% and 5.516% respectively. A practicable and economical method for determining benzoic acid and salicylic acid in Zuguangsan was established.