目的 建立指纹图谱与主成分分析（PCA）相结合的提取工艺优化方法，并将其应用于复方虎杖方乙醇提取工艺优化。方法 以复方虎杖方为模型药物，采用HPLC法建立指纹图谱，对共有峰峰面积进行PCA，以总因子得分为评价指标，采用U₉（9³×3¹）均匀设计法考察提取次数（X₁）、乙醇用量（X₂）、乙醇体积分数（X₃）和提取时间（X₄）对提取效果的影响，建立回归模型，确定最佳工艺参数。结果 建立的数学模型能够较好地描述效应指标与各因素之间的关系（r=0.997），应用建立的方法优化得到复方虎杖方最适宜醇提工艺为6倍量90%乙醇提取3次，每次1 h。结论 所建立的方法简便有效，适合复方虎杖方提取，可以为复方中药提取工艺优化提供参考。

Objective To establish an extraction process optimization method based on fingerprint combined with principal component analysis, which was finally applied to Compound Huzhang ethanol extraction process optimization. Methods Taking Compound Huzhang prescription as model drug, different ethanol extraction condition fingerprint was established by HPLC, harvesting the areas of the common peaks, the total factor scores were calculated by PCA. Arranged experiments with U₉(9³×3¹) uniform design method, choosing the total factor scores as index, the influence of extration times(X₁), alcohol consumption(X₂), alcohol concentration(X₃), and time of extracting(X₄) on the yield of extract was investigated, then the technological parameters of optimum ethanol extraction condition were selected by multi-nonlinear mathematic models. Results Multi-nonlinear mathematic models described the relationship between response indexes and factor variables with a regression coefficient of 0.997. The optimized conditions for Compound Huzhang Prescription were extracted in 90% ethanol six times as much as it for three times, 1 h once. Conclusion It is proved that the extraction method is suitable and feasible that could provide a reference for compound Chinese medicine extraction process optimization.

江苏省“六大人才高峰”高层次人才培养对象科研资助项目（2015-YY-011）；江苏省“333高层次人才培养工程”科研资助项目（BRA2015494）