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目的:确定黄连的最佳提取工艺条件;进一步验证遗传算法(GA)在中药研究中的应用效果。方法:以液料比、乙醇浓度、提取次数和提取时间为考察因素,HPLC法测定盐酸小檗碱的含量,以盐酸小檗碱含量为目标函数,采用正交试验设计优选黄连中盐酸小檗碱的提取工艺,进一步采用遗传算法全局优化正交试验结果。结果:遗传算法所得其最优提取工艺为:加药材13倍量的50%乙醇提取3次,每次1h;此条件下盐酸小檗碱的含量为60.69mg/g,与预测值(59.93mg/g)相近。结论:该工艺稳定,生产成本低,盐酸小檗碱得率高,可用于黄连中盐酸小檗碱的提取。显示遗传算法在中药提取工艺优化方面具有一定优越性。
OBJECTIVE: To determine the optimal extraction process conditions of Coptis chinensis Franch., And to further verify the application effect of Genetic Algorithm (GA) in traditional Chinese medicine research. Methods: The ratio of liquid to solid, ethanol concentration, extraction times and extraction time were investigated. The content of berberine hydrochloride was determined by HPLC. Berberine hydrochloride content was taken as the objective function. The optimal design of berberine hydrochloride Alkali extraction process, the further optimization of orthogonal test results using genetic algorithms. Results: The optimum extraction process of genetic algorithm was as follows: 13 times the amount of medicinal herbs 50% ethanol extracted three times, each time 1h; under these conditions berberine hydrochloride content of 60.69mg / g, and the predicted value (59.93mg / g) are similar. Conclusion: The process is stable, the production cost is low, the yield of berberine hydrochloride is high, and it can be used for the extraction of berberine hydrochloride from Coptis chinensis. It shows that genetic algorithm has some advantages in the optimization of traditional Chinese medicine extraction process.