[主成分回归法同时分光光度法测定止咳糖浆中各成分的研究]

[Research into simultaneous spectrophotometric determination of components in cough syrup by principal component regression method].

作者信息

Zhang Li-qing, Wu Xiao-hua, Tang Xi, Zhu Xian-liang, Su Wen-ting

机构信息

Department of Biological and Chemistry Engineering, Zhejiang University of Science and Technology, Hangzhou 310012, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2002 Jun;22(3):427-9.

PMID:12938324

Abstract

Principal component regression (PCR) method is used to analyse five components: acetaminophen, p-aminophenol, caffeine, chlorphenamine maleate and guaifenesin. The basic principle and the analytical step of the approach are described in detail. The computer program of LHG is based on VB language. The experimental result shows that the PCR method has no systematical error as compared to classical method. The experimental result shows that the average recovery of each component is all in the range from 96.43% to 107.14%. Each component obtains satisfactory result without any pre-separation. The approach is simple, rapid and suitable for the computer-aid analysis.

摘要

主成分回归（PCR）法用于分析对乙酰氨基酚、对氨基酚、咖啡因、马来酸氯苯那敏和愈创甘油醚五种成分。详细描述了该方法的基本原理和分析步骤。LHG计算机程序基于VB语言。实验结果表明，与经典方法相比，PCR法无系统误差。实验结果表明，各成分的平均回收率均在96.43%至107.14%之间。各成分无需任何预分离即可获得满意结果。该方法简单、快速，适用于计算机辅助分析。