以何首乌为核心配伍药对的指纹图谱建立及多元统计分析
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篇名: 以何首乌为核心配伍药对的指纹图谱建立及多元统计分析
TITLE: Establishment of Fingerprint and Multivariate Statistical Analysis of Compatible Herb Pairs with Polygonum multiflorum as the Core
摘要: 目的:建立何首乌为核心的32个配伍药对的超高效液相色谱(UPLC)指纹图谱,并进行多元统计分析。方法:采用UPLC法,以何首乌及配伍药物的单味饮片为参照,绘制32个何首乌配伍药对的UPLC指纹图谱;采用相对保留时间及色谱峰紫外吸收光谱确定共有峰。采用SPSS19.0软件和SIMCA13.0软件进行无监督的主成分分析(PCA)和有监督的正交偏最小二乘法-判别分析(OPLS-DA)。结果:32个何首乌配伍药对的UPLC图谱有12个共有峰。无监督的PCA分析结果显示,前6个主成分的累积方差贡献率为84.633%;PCA综合评分的聚类分析结果显示,何首乌单味饮片以及何首乌与枸杞子、熟地黄、白芍、党参、墨旱莲、当归、甘草、黄芪、麦冬的配伍药对聚为一类,其余聚为一类。有监督的OPLS-DA分析结果显示,4个主成分特征值分别为2.32、2.61、1.58、0.90;在配伍过程中,何首乌与补虚类、非补虚类药物的12个共有成分含量存在差异,且与补虚药配伍后的成分含量变化具有相似性;共有峰7、4、6、3是引起差异的主要原因(变量重要性投影值均大于1)。结论:所建指纹图谱操作简便,结合多元统计分析可用于评价以何首乌为核心的32个配伍药对共有成分的含量变化。
ABSTRACT: OBJECTIVE:To establish UPLC fin gerprint of 32 compatible herb pairs with Polygonum multiflorum as the core , and to conduct multivariate statistical analysis. METHODS :UPLC method was adopted. Using P. multiflorum and single decoction pieces of compatible herb as reference ,UPLC fingerprints of 32 compatible herb pairs of P. multiflorum were drawn. Common peaks were confirmed by relative retention time and UV absorption spectrum. Non-supervised PCA and supervised OPLS-DA were conducted by using SPSS 19.0 software and SIMCA 13.0 software. RESULTS :There were totally 12 common peaks in UPLC fingerprints of 32 compatible herb pairs of P. multiflorum . The results of non-supervised PCA showed that the accumulative variance contribution rate of primary 6 principal components was 84.633%. The results of cluster analysis of PCA comprehensive score showed that single decoction piece of P. multiflorum ,compatible herb pairs of P. multiflorum with Lycium barbarum ,Rehmannia glutinosa,Paeonia lactiflora ,Codonopsis pilosula ,Eclipta prostrate ,Angelica sinensis ,Glycyrrhiza uralensis ,Astragalus membranaceus and Ophiopogon japonicus were clustered into one category ;others were clustered into one category. Results of supervised OPLS-DA analysis showed that eigen values of 4 principal components were 2.32,2.61,1.58 and 0.90,respectively. There were differences in the contents of 12 common components in the compatibility of P. multiflorum with tonic medicine and non-tonic medicine. The changes of the content of the components after compatibility with tonic medicine were similar. Common peak 7,4,6,3 were main reasons for the differences (variable importance projection value were all higher than 1). CONCLUSIONS:Established fingerprint is simple in operation ,and can be combined with multivariate statistical analysis to evaluate the content changes of common components of 32 compatible herb pairs with P. multiflorum as the core.
期刊: 2020年第31卷第20期
作者: 张慧杰,任晓亮,孙浩,王雅琦,梁颖
AUTHORS: ZHANG Huijie,REN Xiaoliang ,SUN Hao,WANG Yaqi,LIANG Ying
关键字: 何首乌;配伍药对;超高效液相色谱法;指纹图谱;主成分分析;正交偏最小二乘法-判别分析
KEYWORDS: Polygonum multiflorum ;Compatible herb pairs ;UPLC;Fingerprint;PCA;OPLS-DA
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