GC-MS 기반 대사체학 기법을 이용한 택사의 산지판별모델

• 영문명: Discrimination Model of Cultivation Area of Alismatis Rhizoma using a GC-MS-Based Metabolomics Approach
• 발행기관: 대한약학회
• 저자명: 임재윤(Jae-Yoon Leem)
• 간행물 정보: 『약학회지』제60권 제1호(2016년), 29~35쪽, 전체 7쪽
• 주제분류: 의약학 > 기타의약학
• 파일형태: PDF
• 발행일자: 2016.02.28

영문 초록

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.

키워드

Alisma orientale Juz. gas chromatography/mass spectrometer metabolomics multivariate analysis orthogonal partial least squares discriminant analysis