Optimization of Fagopyrum Dibotrys (D. Don) Hara Extraction Technology Based on Multi-objective Genetic Algorithm

OBJECTIVE To optimize the extraction technology of Fagopyrum dibotrys (D. Don) Hara. METHODS The ethanol concentration, solvent multiple, extraction time and extraction times were selected as the investigation factors, and the orthogonal test was carried out with the total flavonoids and extract yield. A quadratic regression model of total flavonoids and extract yield was established by SPSS 19.0 software. It was further optimized by multi-objective genetic algorithm to determine the optimal extraction process of Fagopyrum Dibotrys (D. Don) Hara. RESULTS The best extraction condition for Fagopyrum dibotrys (D. Don) Hara were as follows:24 times of 61% ethanol, extracted 3 times at 80℃, each time was 1.90 h. The yields of total flavonoids and extracts were 11.58% and 22.83%, respectively, which were consistent with the predicted results. CONCLUSION The multi-objective genetic algorithm can optimize the extraction of effective parts of Fagopyrum dibotrys (D. Don) Hara, the process is stable, and the yield of active ingredients is high.