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Metabolomics analysis reveals variation in Schisandra chinensis metabolites from different origins
Author(s) -
Zhang Yinan,
Li Fen,
Huang Fengjie,
Xie Guoxiang,
Wei Runmin,
Chen Tianlu,
Liu Jiajian,
Zhao Aihua,
Jia Wei
Publication year - 2014
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201301242
Subject(s) - metabolite , schisandra chinensis , metabolomics , metabolite profiling , shikimic acid , primary metabolite , chemistry , phytochemical , metabolome , environmental chemistry , chromatography , biochemistry , medicine , traditional chinese medicine , alternative medicine , pathology
Wu W ei Z i ( S chisandra chinensis ), an important herbal medicine, is mainly distributed in the northeast of C hina. Its phytochemical compositions, which depend on geographical origin, climatic conditions and cultural practices, may vary largely among W u W ei Z i from different areas. In this study, we applied a comprehensive metabolite profiling approach using GC – TOF ‐ MS , ultra‐performance LC ( UPLC ) quadrupole TOF ( QTOF ) MS and inductively coupled plasma MS to systematically investigate the metabolite variations of S . chinensis from four different areas including Heilongjiang, Liaoning, Jilin, and Shanxi of China. A total of 65 primary metabolites, 35 secondary metabolites and 64 inorganic elements were identified. Several primary metabolites, including shikimic acid and tricarboxylic acid cycle intermediates, were abundant in those located in Heilongjiang, Jilin, and Liaoning. Besides, bioactive lignans are also highly abundant in those from northeastern China than those from northwestern China. Inorganic elements varied significantly among the different locations. Our results suggested that the metabolite profiling approach using GC – TOF ‐ MS , ultra‐performance LC quadrupole TOF MS , and inductively coupled plasma MS is a robust and reliable method that can be effectively used to explore subtle variations among plants from different geographical locations.
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