Optimization of Extraction and Quality Evaluation of Abri Herba by Response Surface Methodology Combined with Quantitative Analysis of Multi-Components by a Single Marker

Abri Herba (AH) is a famous medicinal and edible traditional Chinese medicine, which is usually used for liver disease. To date, few studies have been conducted on the ultrasonic extraction (UAE) process for AH and the application of quality analysis of multi-components by the single-marker (QAMS) method to evaluate the quality.To optimize the UAE process for AH, and develop and validate the quality evaluation of AH by the QAMS method.The UAE conditions of AH were optimized by response surface methodology with the total contents of protocatechuic acid, hydantoin, gardeniaine, vicenin-2, salvoside and isosalvoside as indicators, the ultrasonic time, methanol concentration and liquid to material ratio as parameters. The content of protocatechuic acid, hypaphorine, abrine, vicenin-2, schaftoside, and isoschaftoside in 12 batches of AH was first determined by the external standard method (ESM) using HPLC. After that, based on abrine as the internal standard, the relative correction factors (RCF) for protocatechuic acid, hypaphorine, vicenin-2, schaftoside and isoschaftoside were established, and the ESM method was used to verify the QAMS method.The results show that the optimal extraction process parameters for AH are an ultrasonic time of 22 min, a methanol concentration of 45%, and liquid to material ratio of 26 (mL/g). The QAMS results show that the relative correction factor has good reproducibility, and there is no significant difference between the results of the ESM method and the QAMS method for each chemical constituent, indicating that the research is feasible.The optimized extraction process of AH and the established QAMS-based quality control method are stable and can be used for the quality control of AH.A response surface methodology was used to optimize the ultrasonic extraction process for AH, and a QAMS method was established for evaluating the quality of AH.