基于多目标遗传算法优化刺五加根提取工艺的研究

摘要

Objective To examine the application of multi-objective genetic algorithm (MOGA) for optimizing the extraction technology of Acanthopanax senticosus (A.senticosus),thus allowing for subsequent assessment.Methods By using SGALAB beta5008,a plug-in toolbox of Matlab2009a software,the optimization of genetic algorithm has entailed statistical analysis by using SPSS13.0 software.Results Following application of MGOA for extraction of A.senticosus,the yield of extraction was 0.104％ and 0.086％ for syringin and eleutheroside E in the root and rootstock portions.Extraction with 10 aliquots of 76％ ethanol for three consecutive 2.3 hour treatment cycles was proved to be the optimal condition.Conclusion For multiple targets to be optimized simultaneously,MOGA provides a more reasonable approach for optimizing the condition of extracting the contents of A.senticosus compared with Pareto non-inferior solution and could be popularized for optimization of extraction of miscellaneous medications.%目的 研究多目标遗传算法(MOGA)在刺五加根提取工艺条件中的应用,并对其效果进行评价.方法 利用Matlab2009a外挂SGALAB工具箱beta5008完成遗传算法的寻优；利用SPSS13.0软件进行统计分析.结果 经过MOGA优化后,刺五加根及根茎中紫丁香苷、刺五加苷E的提取率的平均水平能达到0.104％、0.086％,提取工艺的最优提取条件为10倍的76％的乙醇、提取时间2.3 h、提取次数3次.结论 在保证多个目标都最优的前提下,MOGA搜索的Pareto非劣解比较理想,为刺五加根提取最优条件选择提供了合理的方法,可推广到其他药物的最优条件选择.