多目标遗传算法优化五味子提取工艺的研究

徐彦杰;师先锋;杨晓文;刘晓红;陈益;仇丽霞

中国药学杂志 ›› 2012, Vol. 47 ›› Issue (9) : 669-672.

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中国药学杂志 ›› 2012, Vol. 47 ›› Issue (9) : 669-672.
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多目标遗传算法优化五味子提取工艺的研究

  • 徐彦杰1,师先锋1,杨晓文1,刘晓红1,陈益2,仇丽霞1*
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Optimization of Extraction Technology of Schisandrae Chinensis Fructus  by Multiobjective Genetic Algorithm

  • XU Yanjie1,SHI Xianfeng1,YANG Xiaowen1,LIU Xiaohong1,CHEN Yi2,QIU Lixia1*
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摘要

目的研究多目标遗传算法(MOGA)在微波萃取五味子提取工艺条件中的应用,并对其效果进行评价。方法对五味子提取工艺均匀设计实验数据建立以浸膏得率、五味子醇甲和总木脂素的子目标模型,采用多目标遗传算法对其进行多目标优化,搜索最优提取条件,比较搜索结果。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。结果得到的最优工艺条件为微波功率270 W、乙醇体积分数为87%、萃取时间为7 min、乙醇用量为1∶〖DK)〗45、饮片粉碎度为70目;此条件下的搜索结果浸膏得率为2140%、五味子醇甲472%、五味子总木脂素1084%。结论多目标遗传算法搜索的Pareto非劣解在保证多目标都最优的前提下是比较理想的,为五味子的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。

Abstract

ABSTRACT:OBJECTIVE To study the application of Multiobjective Genetic Algorithm in optimization of microextraction technology of Schisandrae Chinensis Fructus METHODS Subtarget model of extraction rate, schizandrin and the total lignan was established based on microextraction Schisandrae Chinensis Fructus experimental data resulted from uniform design Applying MOGA, the optimal extracting conditions were explored, and the results were compared with those of Singleobjective genetic algorithm Using SGALAB beta5008 of the Matlab2009a plugin toolbox,  the genetic algorithm optimization was achieved SPSS130 software was used for statistical analysis RESULTSThe optimal conditions were as follows: microwave power 270 W, ethanol 87%, extraction time 7 min, ethanol amount 1∶ 45, grinding degree 70 Under these conditions, the extract rate was 2140%, Schizandrin recovery was 472%, and the total lignan recovery was 1084% CONCLUSIONMOGA provides a reasonable pareto ensuring the optimal multiobjective, which provides a reasonable method for extraction of Schisandrae Chinensis Fructus This method can be applied in the selection of extraction technology of other drugs

关键词

五味子 / 提取工艺 / 均匀实验 / 遗传算法 / 多目标优化 / Pareto非劣解 / 五味子醇甲 / 五味子总木脂素

Key words

Schisandrae Chinensis Fructus; extraction technology; uniform design; genetic algorithm; multiobjective optimization;  / Pareto noninferior solution; schizandrin; thetotal lignan

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徐彦杰;师先锋;杨晓文;刘晓红;陈益;仇丽霞. 多目标遗传算法优化五味子提取工艺的研究[J]. 中国药学杂志, 2012, 47(9): 669-672
XU Yanjie;SHI Xianfeng;YANG Xiaowen;LIU Xiaohong;CHEN Yi;QIU Lixia. Optimization of Extraction Technology of Schisandrae Chinensis Fructus  by Multiobjective Genetic Algorithm[J]. Chinese Pharmaceutical Journal, 2012, 47(9): 669-672

参考文献

[1]ZHANG W X.  Mathematical Foundations of Geneticalgorithms(遗传算法的数学基础) [M].  Xi'an:Xi'an Jiaotong University Press,2003:3985. 

[2]SCHAFFER J.  Multiple objective optimization with vector evaluated genetic algorithms[D]. Hillsdale: Erlbaum Associates Inc, 1985.

[3]HORN J, NAFPLIOTIS N, GOLDBERG D E.  A niched Pareto genetic algorithm for multiobjective optimization[C].  IEEE World Congress on Computational Computation, Piscataway, NJ, 1994.  

[4]CUI X X.  Multiobjective Evolutionary Algorithm and Application(多目标进化算法及应用) [M].  Beijing: Defense Industry Press,2006:5269. 

[5]FONSECA C M, FLEMING P J.  Genetic algorithms for multiobjective optimization: formulation and generalization[M]. Proceedings of the fifth international conference on genetic algorithms. San Francisco: Morgan Kaufmann Publishers Inc,  1993:416423. 

[6]FANG K T, MA C X.  Orthogonal and Uniform Experimental Design (正交与均匀试验设计) [M].  Beijing: Science Press, 2001:8397. 

[7]HUANG T H, ZHANG X M.  Study on microwaveassisted extraction process for paeoniflorin in paeonia lactiflora pall psing uniform design [J].  Chin Pharm J (中国药学杂志),2008, 43(19):14641467. 

[8]HUANG T H,SHEN P R.  Optimization of microwave extraction process of Schisandra by uniform design [J].  Chin Tradit Pat Med(中成药),2006,28(8):11111113. 

[9]QIU L X.  Optimal Decisionmaking Criterion Analysis Based on Genetic Algorithms and its Application in Medicine and Pharmacy[D].  Shanxi Medical University, 2007. 
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