偏最小二乘法在对因变量矩阵分解的同时,也依据主成分分析法将自变量矩阵分解,充分利用了两者的信息及内在联系,所得回归模型稳定性好,预示能力强。应用于消尔疴口服液的紫外分光光度分析中,同时测定了两主要成分磺胺噻唑和磺胺二甲嘧啶的含量,平均回收率分别为99.8%和100.4%,变异系数0.52%和0,60%,结果满意。 Partial least square method decomposes the dependent variable matrix and decomposes the independent variable matrix according to the principal component analysis method. It takes full advantage of the information and internal relations between the two. The regression model has good stability and strong predictive ability. In the ultraviolet spectrophotometric analysis of Xiaoer oral solution, the two main components, sulfathiazole and sulfamethazine, were also determined. The average recoveries were 99.8% and 100.4%, respectively. The coefficients of variation were 0.52% and 0,60% Satisfactory results.