Comparative Analysis of the Volatile Components ofAgrimonia eupatoriafrom Leaves and Roots by Gas Chromatography-Mass Spectrometry and Multivariate Curve Resolution
Author(s) -
Xiaoliang Feng,
Yun-Biao He,
YiZeng Liang,
Yulin Wang,
LanFang Huang,
Jianwei Xie
Publication year - 2013
Publication title -
journal of analytical methods in chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.407
H-Index - 25
eISSN - 2090-8865
pISSN - 2090-8873
DOI - 10.1155/2013/246986
Subject(s) - chromatography , resolution (logic) , chemistry , mass spectrometry , gas chromatography , gas chromatography–mass spectrometry , mass spectrum , analytical chemistry (journal) , qualitative analysis , kovats retention index , repeatability , multivariate statistics , mathematics , artificial intelligence , statistics , qualitative research , social science , sociology , computer science
Gas chromatography-mass spectrometry and multivariate curve resolution were applied to the differential analysis of the volatile components in Agrimonia eupatoria specimens from different plant parts. After extracted with water distillation method, the volatile components in Agrimonia eupatoria from leaves and roots were detected by GC-MS. Then the qualitative and quantitative analysis of the volatile components in the main root of Agrimonia eupatoria was completed with the help of subwindow factor analysis resolving two-dimensional original data into mass spectra and chromatograms. 68 of 87 separated constituents in the total ion chromatogram of the volatile components were identified and quantified, accounting for about 87.03% of the total content. Then, the common peaks in leaf were extracted with orthogonal projection resolution method. Among the components determined, there were 52 components coexisting in the studied samples although the relative content of each component showed difference to some extent. The results showed a fair consistency in their GC-MS fingerprint. It was the first time to apply orthogonal projection method to compare different plant parts of Agrimonia eupatoria , and it reduced the burden of qualitative analysis as well as the subjectivity. The obtained results proved the combined approach powerful for the analysis of complex Agrimonia eupatoria samples. The developed method can be used to further study and quality control of Agrimonia eupatoria .
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