Classification of Cimicifuga species based on 1H-NMR fingerprint combined with pattern recognition technique.
- Author:
Li SHEN
1
;
Yan-Yan ZHAO
;
Hong-Ping XIE
;
Wan-Hui LIU
Author Information
1. School of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, China.
- Publication Type:Journal Article
- MeSH:
Cimicifuga;
classification;
Discriminant Analysis;
Drugs, Chinese Herbal;
classification;
standards;
Magnetic Resonance Spectroscopy;
methods;
Metabolomics;
methods;
Pattern Recognition, Automated;
Principal Component Analysis;
Protons;
Saponins;
isolation & purification;
Triterpenes;
isolation & purification
- From:
China Journal of Chinese Materia Medica
2013;38(2):217-222
- CountryChina
- Language:Chinese
-
Abstract:
The metabolomic analysis of three Cimicifuga species was performed using H-NMR spectroscopy and pattern recognition (PR) techniques. A broad range of metabolites could be detected by 'H-NMR spectroscopy without any chromatographic separation. The analysis using principal component analysis (PCA) and discriminant partial least square (DPLS) of the 1H-NMR spectrum showed a clear discrimination between C. foetida and the other two species. The major metabolites responsible for the discrimination were triterpenoid saponins and saccharides. These results indicated that the combination of 1H-NMR and PR provides a useful tool for chemotaxonomic analysis and authentification of Cimicifuga species, and could used for the quality control of plant materials.
