|
KMID : 0370220160600010029
|
|
Yakhak Hoeji
2016 Volume.60 No. 1 p.29 ~ p.35
|
|
|
Discrimination Model of Cultivation Area of Alismatis Rhizoma using a GC-MS-Based Metabolomics Approach
|
|
임재윤:Leem Jae-Yoon
저자없음:No authors listed
|
|
|
Abstract
|
|
|
Traditional Korean medicines may be managed more scientifically, through the development of logical criterion to verify their cultivation region. It contributes to advance the industry of traditional herbal medicines. Volatile compounds were obtained from 14 samples of domestic Taeksa and 30 samples of Chinese Taeksa by steam distillation. The metabolites
were identified by NIST mass spectral library in the obtained gas chromatography/mass spectrometer (GC/MS) data of 35
training samples. The multivariate statistical analysis, such as Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA), were performed based on the qualitative and quantitative data. Finally trans-(2,3-diphenylcyclopropyl)methyl phenyl sulfoxide (47.265 min), 1,2,3,4-tetrahydro-1-phenyl-naphthalene (47.781 min), spiro[4-oxatricyclo[5.3.0.0.(2,6)]decan-3-one-5,2’-cyclohexane] (54.62 min), 6-[7-nitrobenzofurazan-4-yl]amino-morphinan-4,5-epoxy (54.86 min), p-hydroxynorephedrine (55.14 min) were determined as marker metabolites to verify candidates for the origin of Taeksa. The statistical model was well established to determine the origin of Taeksa. The cultivation areas of test samples, each 3 domestic and 6 Chinese Taeksa were predicted by the established OPLS-DA model and it was confirmed that all 9 samples were precisely classified.
|
|
|
KEYWORD
|
|
|
Alisma orientale Juz., gas chromatography/mass spectrometer, metabolomics, multivariate analysis, orthogonal partial least squares discriminant analysis
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|