摘要
目的 建立多成分定量联合灰色关联度分析(GRA)及熵权逼近理想解排序(EW-TOPSIS)法评价柴胡疏肝颗粒综合质量的方法。方法 以Shimadzu C_(18)为色谱柱,乙腈-0.1%磷酸为流动相,采用一测多评(QAMS)法同时测定柴胡疏肝颗粒中芍药内酯苷、芍药苷、香附烯酮、圆柚酮、α-香附酮、柴胡皂苷a、柴胡皂苷d、柚皮苷、橙皮苷、新橙皮苷、洋川芎内酯A、瑟丹酸内酯和藁本内酯含量;分别构建18批样品GRA和熵权TOPSIS质量评价模型,并对分析结果进行对比。结果 柴胡疏肝颗粒中13种成分在各自范围内线性关系良好(r≥0.999),平均加样回收率(n=9)在96.91%~100.07%(RSD <2.0%),QAMS与外标法结果无明显差异(P> 0.05);GRA结果相对关联度为0.3216~0.6049,EW-TOPSIS法结果相对接近度为0.2449~0.6645,GRA与EW-TOPSIS模型综合评价结果基本一致。结论 该方法可用于柴胡疏肝颗粒多指标成分定量控制及质量评价。
Objective To establish a multi-component quantification combined with GRA and EW-TOPSIS method to evaluate the quality of Chaihu Shugan granules.Methods The determination was performed on a Shimadzu C_(18) column with the mobile phase composed of acetonitrile-0.1% phosphoric acid.The contents of albiflorin,paeoniflorin,cyperenone,nootkatone,α-cyperone,saikosaponin A,saikosaponin D,naringin,hesperidin,neohesperidin,senkyunolide A,neocnidilide and ligustilide in Chaihu Shugan granules were calculated using the QAMS method.The models for quality evaluation of GRA and EW-TOPSIS in 18 batches of samples were constructed respectively,and the results of analysis were compared.Results The 13 components of Chaihu Shugan granules showed good linear relationships within their respective ranges(r≥0.999),and the average recoveries(n=9) ranged from 96.91% to 100.07%(RSD 2.0%).There was no obvious difference between QAMS and ESM(P<0.05).The relative correlation degree with the GRA method was 0.321 6-0.604 9,and the relative proximity with the EW-TOPSIS analysis method was 0.244 9-0.664 5.The overall results of evaluation by GRA and EW-TOPSIS models were basically the same.Conclusion This method can be used for quantitative control and quality evaluation of multi-components in Chaihu Shugan granules.
作者
刘科成
魏谭军
陈飞
肖成
张银素
LIU Kecheng;WEI Tanjun;CHEN Fei;XIAO Cheng;ZHANG Yinsu(Department of Pharmacy,Dazhou Integrated TCM&Western Medical Hospital&Dazhou Second People’s Hospital,Dazhou Sichuan 635000,China)
出处
《中国药物警戒》
2023年第11期1243-1248,共6页
Chinese Journal of Pharmacovigilance
基金
四川省重点研发项目(2020YFS0533)。