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不同采收期水冬瓜叶的主成分分析及抗炎镇痛谱效关系研究
引用本文:韩忠耀,张涛,黄春丽,田浩,王万乐,卢洋,王小建,罗浩. 不同采收期水冬瓜叶的主成分分析及抗炎镇痛谱效关系研究[J]. 化学试剂, 2022, 0(3)
作者姓名:韩忠耀  张涛  黄春丽  田浩  王万乐  卢洋  王小建  罗浩
作者单位:黔南民族医学高等专科学校药学系
基金项目:贵州省科技计划项目基金项目(黔科合基础[2020]1Y390号);黔南特色药用植物开发与利用博士工作站(黔南科合基础[2020]19号)。
摘    要:为筛选水冬瓜叶抗炎镇痛活性成分,采用高效液相色谱(HPLC)建立不同采收期10批次水冬瓜叶药材指纹图谱,对其进行主成分分析,并基于皮尔逊相关分析法探讨不同采收期水冬瓜叶药材抗炎镇痛的谱效关系。结果显示,不同采收期水冬瓜叶药材HPLC指纹图谱中有17个共有峰,10批次药材的相似度为0.875~0.973。聚类分析将不同采收期水冬瓜叶药材分为3类。主成分分析共得到3个主成分。经皮尔逊相关分析,峰17、峰14、峰12、峰15、峰13、峰5、峰16和峰4可能为水冬瓜叶药材镇痛作用的物质基础,峰6、峰8(异槲皮苷)、峰11、峰7(金丝桃苷)、峰5、峰3、峰4、峰13、峰9和峰1可能为水冬瓜叶药材抗炎作用的物质基础。

关 键 词:水冬瓜叶  指纹图谱  谱效关系  皮尔逊相关分析法  化学模式识别  抗炎镇痛

Principal Component Analysis and Spectrum-effect Relationship of Anti-inflammatory and Analgesic of the Leaves of Toricellia Angulata Oliv.var.intermedia(Harms)Hu in Different Collecting Seasons
HAN Zhong-yao,ZHANG Tao,HUANG Chun-li,TIAN Hao,WANG Wan-le,LU Yang,WANG Xiao-jian,LUO Hao. Principal Component Analysis and Spectrum-effect Relationship of Anti-inflammatory and Analgesic of the Leaves of Toricellia Angulata Oliv.var.intermedia(Harms)Hu in Different Collecting Seasons[J]. Chemical Reagents, 2022, 0(3)
Authors:HAN Zhong-yao  ZHANG Tao  HUANG Chun-li  TIAN Hao  WANG Wan-le  LU Yang  WANG Xiao-jian  LUO Hao
Affiliation:(Department of Pharmacy,Qiannan Medical College for Nationalities,Duyun 558000,China)
Abstract:In order to screen the anti-inflammatory and analgesic active components of the leaves of Toricellia Angulata Oliv.var.intermedia(Harms)Hu,high performance liquid chromatography(HPLC)was used to establish the fingerprints of 10 batches of the leaves of Toricellia Angulata Oliv.var.intermedia(Harms)Hu in different collecting seasons,and the principal component analysis was carried out.Based on Pearson correlation analysis,the spectrum-effect relationship of anti-inflammatory and analgesic effects of the leaves of Toricellia Angulata Oliv.var.intermedia(Harms)Hu in different collecting seasons was discussed.The results showed that there were 17 common peaks in the leaves of Toricellia Angulata Oliv.var.intermedia(Harms)Hu in different collecting seasons,and the similarity of 10 batches of medicinal materials was 0.875~0.973.Cluster analysis divided the medicinal materials of 10 batches of the leaves of Toricellia Angulata Oliv.var.intermedia(Harms)Hu in different collecting seasons into three categories.Three principal components were obtained by principal component analysis.Pearson correlation analysis was used to calculate the correlation coefficient between each common peak and analgesic inhibition rate and anti-inflammatory swelling inhibition rate.The results showed that peak 17,peak 14,peak 12,peak 15,peak 13,peak 5,peak 16 and peak 4 may be the material basis of analgesic effect of the leaves of Toricellia Angulata Oliv.var.intermedia(Harms)Hu in different collecting seasons,peak 6,peak 8(isoquercitrin),peak 11,peak 7(hyperin),peak 5,peak 3,peak 4,peak 13,peak 9 and peak 1 may be the material basis of anti-inflammatory effect of the leaves of Toricellia Angulata Oliv.var.intermedia(Harms)Hu in different collecting seasons.
Keywords:the leaves of Toricellia Angulata Oliv.var.intermedia(Harms)Hu  fingerprint  spectrum-effect relationship  pearson relational analysis  chemical pattern recognition  anti-inflammatory and analgesic
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