ABSTRACT
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, 1h 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.