杨铭;周寅敏;陈佳蕾;余敏英;史秀峰;顾希钧;
YANG Ming,ZHOU Yinmin,CHEN Jialei,YU Minying,SHI Xiufeng,GU Xijun(Medicament Department of Longhua Hospital Affiliated to Shanghai univesity of traditionalChinese Medicine,Shanghai 200032,China)

• 1:上海中医药大学附属龙华医院药剂科

摘要(Abstract)：

目的:探讨遗传算法用于秦皮提取液多目标混批勾兑的可行性。方法:选择指纹图谱相似度和指标性成分含量的均方根误差为共同优化目标,对10批不同来源、批次的秦皮提取液建立多目标优化模型,运用遗传算法求得勾兑系数,对各批次提取液进行混批勾兑,以相似度和均方根误差评价确定勾兑后提取液的质量。结果:各批次秦皮提取液混批勾兑后,其质量明显改善,与对照样品间的指纹图谱相似度显著提高,变异程度降低,指标性成分相对偏差小于10%。结论:遗传算法可用于秦皮提取液多目标的混批勾兑,为中药提取液的质量控制提供新思路。
Objective:To explore the feasibility of genetic algorithm (GA) on multiple objective blending technology for extractions of Cortex Fraxini. Method:According to that the optimization objective was the combination of fingerprint similarity and the root-mean-square error of multiple key constituents,a new multiple objective optimization model of 10 batches extractions of Cortex Fraxini was built. The blending coefficient was obtained by genetic algorithm. The quality of 10 batches extractions of Cortex Fraxini that after blending was evaluated with the finger print similarity and root-mean-square error as indexes. Result:The quality of 10 batches extractions of Cortex Fraxini that after blending was well improved. Comparing with the fingerprint of the control sample,the similarity was up,but the degree of variation is down. The relative deviation of the key constituents was less than 10%. Conclusion:It is proved that genetic algorithm works well on multiple objective blending technology for extractions of Cortex Fraxini. This method can be a reference to control the quality of extractions of Cortex Fraxini. Genetic algorithm in blending technology for extractions of Chinese medicines is advisable.

关键词(KeyWords)： 秦皮提取液;指纹图谱;多目标优化;遗传算法;混批勾兑
extraction of Cortex Fraxini; chromatography fingerprint; multiple objective optimization; genetic algorithm; blending technology

Abstract:

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作者(Author): 杨铭;周寅敏;陈佳蕾;余敏英;史秀峰;顾希钧;
YANG Ming,ZHOU Yinmin,CHEN Jialei,YU Minying,SHI Xiufeng,GU Xijun(Medicament Department of Longhua Hospital Affiliated to Shanghai univesity of traditionalChinese Medicine,Shanghai 200032,China)

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