FT-IR 스펙트럼 기반 다변량통계분석기법에 의한 두과작물의 대사체 수준 식별체계 확립

• 영문명: Establishment of rapid discrimination system of leguminous plants at metabolic level using FT-IR spectroscopy with multivariate analysis
• 발행기관: (사)한국식물생명공학회
• 저자명: 김석원(Suk Weon Kim) 송승엽(Seung Yeob Song) 하태정(Tae Joung Ha) 장기창(Ki Chang Jang) 김인중(In Jung Kim)
• 간행물 정보: 『Journal of Plant Biotechnology』39권 3호, 121~126쪽, 전체 6쪽
• 주제분류: 농수해양 > 기타농수해양
• 파일형태: PDF
• 발행일자: 2012.09.30

영문 초록

To determine whether FT-IR spectroscopy combined with multivariate analysis for whole cell extracts can be used to discriminate major leguminous plant at metabolic level, seed extracts of six leguminous plants were subjected to Fourier transform infrared spectroscopy (FT-IR). FT-IR spectral data from seed extracts were analyzed by principal component analysis (PCA), partial least square discriminant analysis (PLS-DA) and hierarchical clustering analysis (HCA). The PCA could not fully discriminate six leguminous plants, however PLS-DA could successfully discriminate six leguminous plants. The hierarchical dendrogram based on PLS-DA separated the six leguminous plants into four branches. The first branch was consisted of all three Vigna species including Vigna radiata var. radiate, Vigna angularis var. angularis and Vigna unguiculata subsp. Unguiculata. Whereas Pisum sativum var. sativum, Glycine max L and Phaseolus vulgaris var. vulgaris were clustered into a separate branch respectively. The overall results showed that metabolic discrimination system were in accordance with known phylogenic taxonomy. Thus we suggested that the hierarchical dendrogram based on PLS-DA of FT-IR spectral data from seed extracts represented the most probable chemotaxonomical relationship between six leguminous plants.

키워드

Fourier transformation infrared spectroscopy Leguminous plants metabolic discrimination Partial Least square discriminant analysis (PLS-DA) Principal component analysis (PCA)