多目标遗传算法优化金荞麦的提取工艺

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

关键词:  金荞麦  提取工艺  多目标遗传算法

Key words:  Fagopyrum dibotrys (D. Don) Hara  extraction technology  multi-objective genetic algorithm

摘要:

目的 优选金荞麦的提取工艺。方法 选择乙醇浓度、溶媒倍数、提取时间、提取次数为考察因素，以总黄酮和浸膏得率为考察指标进行正交试验，运用SPSS 19.0软件建立总黄酮和浸膏得率的二次回归模型，采用多目标遗传算法对其进一步优化，确定金荞麦的最优提取工艺。结果 金荞麦的最佳提取条件：加金荞麦药材24倍量的61%乙醇于80℃提取3次，每次1.90 h；总黄酮和浸膏得率分别为11.58%和22.83%，与遗传算法模型预测结果相符。结论 多目标遗传算法优化的效果理想，所得工艺稳定可行，有效成分得率高，可用于金荞麦有效部位的提取。

Abstract:

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.