吉首大学学报(自然科学版) ›› 2024, Vol. 45 ›› Issue (6): 54-61.DOI: 10.13438/j.cnki.jdzk.2024.06.008

• 药物分析与鉴别 • 上一篇    下一篇

白花泡桐叶石油醚部位的GC-MS指纹图谱

李雨虹,郭洪伟,黄佳,阳丽丽,李明,龙国清,魏华   

  1. (1.吉首大学生物资源与环境科学学院,湖南 吉首 416000;2.湘西自然生物科技有限公司,湖南 吉首 416000;3.吉首大学药学院,湖南 吉首 416000;4.湖南省土家医药研究中心,湖南 吉首 416000;5.土家医药传承与创新国家民委重点实验室,湖南 吉首 416000)
  • 出版日期:2024-11-25 发布日期:2024-12-19
  • 作者简介:李雨虹(2001—),女,湖南长沙人,吉首大学生物资源与环境科学学院硕士研究生,主要从事中药化学成分分离与分析研究
  • 基金资助:
    国家自然科学基金资助项目(81960774);湖南省土家医药研究中心开放项目(201901);湖南省研究生科研创新项目(CX20240933)

GC-MS Fingerprint of Petroleum Ether Fraction in Paulownia fortunei Leaves

LI Yuhong,GUO Hongwei,HUANG Jia,YANG Lili,LI Ming,LONG Guoqing,WEI Hua   

  1. (1.College of Biology and Environmental Science,Jishou University,Jishou 416000,Hunan China;2.Xiangxi Natural Biotechnology Co.,LTD,Jishou 416000,Hunan China;3.School of Pharmaceutical Sciences,Jishou University,Jishou 416000,Hunan China;4.Tujia Medicine Research Center in Hunan,Jishou 416000,Hunan China;5.Tujia Medicine Inheritance and Innovation Key Laboratory of the State Ethnic Affairs Commission,Jishou 416000,Hunan China)
  • Online:2024-11-25 Published:2024-12-19

摘要:为了评价不同产地白花泡桐叶的质量,采用气相色谱-质谱联用技术对白花泡桐叶石油醚部位进行了定性分析,以角鲨烯为对照,测定了19批不同产地白花泡桐叶样品,并借助中药色谱指纹图谱相似度评价系统(2012 A版)作相似度评价,结合聚类分析和主成分分析评价白花泡桐叶的质量.结果表明,建立的白花泡桐叶GC-MS指纹图谱共标定了12个共有峰,分别为二氢猕猴桃内酯、植醇、乙酸十七酯、2-甲基二十八烷、角鲨烯、二十九烷、三十烷、三十六烷、α-生育酚、三十九烷、四十烷、β-谷甾醇;聚类分析将19批白花泡桐叶分为3大类;主成分分析得到2个主成分,累积方差贡献率为86.725%,S12号样品的主成分综合得分最高;主成分分析结果与聚类分析结果基本一致.

关键词: 白花泡桐叶, 指纹图谱, 气质联用, 聚类分析, 主成分分析

Abstract: To evaluate the quality of Paulownia fortunei leaves from different regions,gas chromatography-mass spectrometry was used to qualitatively analyze the petroleum ether fraction of Paulownia fortunei leaves.Squalene used as a control,the similarity evaluation system of traditional Chinese medicine chromatographic fingerprint (2012A version) used for similarity evaluation,cluster analysis and principal component analysis were combined to evaluate the quality.The results indicated that a total of 12 common peaks were identified in 19 batches of Paulownia fortunei leaves from various regions.These peaks corresponded to the following compounds:4,4,7a-Trimethyl-5,6,7,7a-tetrahydro-1-benzofuran-2(4H)-one,phytol,heptadecanoate,2-methyl octacosane,squalene,nonacosane,triacontane,hexatriacontane,α-Tocopherol,nonatriacontane,tetracontane,β-Sitosterol.Through cluster analysis,19 batches of Paulownia fortunei leaves were divided into 3 major categories.The cumulative variance contribution rate of the two principal components obtained from principal component analysis was 86.725%,and the results showed that sample S12 had a higher comprehensive score.The results of principal component analysis and cluster analysis were basically consistent.

Key words: Paulownia fortunei leaves, fingerprint, GC-MS, cluster analysis, principal component analysis

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