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目的:考察多目标遗传算法(MOGA)用于香薷挥发油β-环糊精(β-CD)包合工艺优选的可行性,并评价其包合效果。方法:选择β-CD-挥发油、包合温度、搅拌时间为考察因素,以香薷挥发油的包合物含油率、包合物得率为评价指标,利用Matlab 2009a外挂SGALAB工具箱beta 5008完成遗传算法对香薷挥发油β-CD包合工艺的优化,并与正交试验结果比较,采用SPSS 19.0软件进行统计分析。结果:最佳包合工艺为β-CD-挥发油(8∶1),包合温度59℃,包合时间2.8 h。经MOGA优化后,香薷挥发油β-CD包合物含油率和得率的平均水平分别能达到79.97%,84.18%。结论:在保证包合物含油率和得率均最优的前提下,MOGA搜索得到的Pareto非劣解较理想,为含香薷中成药的制备提供参考。
OBJECTIVE: To investigate the feasibility of multi-objective genetic algorithm (MOGA) for the optimal inclusion of β-cyclodextrin (β-CD) in Emu Oil and to evaluate its inclusion effect. Methods: β-CD-volatile oil, inclusion temperature and stirring time were selected as the investigation factors. The inclusion rate and inclusion compound yield of the essential oil of volatile oil were used as evaluation indexes. The genetic algorithm The optimization of the β-CD inclusion process of essential oil was studied and compared with the orthogonal test results. The statistical analysis was carried out by SPSS 19.0 software. Results: The best inclusion process was β-CD-volatile oil (8:1), the inclusion temperature was 59 ℃ and the inclusion time was 2.8 h. After optimization by MOGA, the average oil content and yield of the β-CD inclusion compound of the volatile oil of Xiangwan can reach 79.97% and 84.18% respectively. Conclusion: Under the premise of ensuring the oil content and the yield of the inclusion compound, the non-inferiority of Pareto obtained by MOGA search is better than that of the traditional method.