摘要
本文研究了偏最小二乘法(PLS)用于药物的紫外可见多组份光度分析。当混合物中诸组份存在相互作用、光谱加和性受到扰动时,PLS法较之常规最小二乘(OLS)及多元线性回归(MLR)法有显著优点。本法用于去痛片的分析,得到了良好的回收率。
In this paper, the application of partial least-squares regression (PLS) method to multicomponent drug analysis using UV spectrophotometry has been investigated. The PLS method is comparable favourably with ordinary least squares (OLS) and multiple linear regression (MLR) methods especially when there is interaction between the components to be determined and the spectral additivity is violated. The procedure was applied to the assay of aminopyrine-phenacetin composite tablets and satisfactory recoveries were obtained.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
1989年第7期588-592,共5页
Chinese Journal of Analytical Chemistry
基金
国家自然科学基金
关键词
药物分析
偏最小二乘法
光度分析
Partial Least Squares
Drug analysis
Multicomponent analysis
