Journal of Jishou University(Natural Sciences Edition) ›› 2024, Vol. 45 ›› Issue (6): 54-61.DOI: 10.13438/j.cnki.jdzk.2024.06.008

• Drug analysis and Identification • Previous Articles     Next Articles

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

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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