Seung Yeob Song

Establishment of rapid discrimination system of leguminous plants at metabolic level using FT-IR spectroscopy with multivariate analysis

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.

Simultaneous estimation of fatty acids contents from soybean seeds using fourier transform infrared spectroscopy and gas chromatography by multivariate analysis

본 연구의 목적은 적외선 분광스펙트럼 데이터를 이용하여 대두 종자내의 지방산 함량을 동시에 예측할 수 있는지 여부를 조사하기 위한 것이다. 총 153종의 대두(Glycine max Merrill) 종자로부터 적외선 분광스펙트럼 및 지방산의 함량을 기체크로마토그라피 분석을 통하여 확인하였다. 적외선 분광스펙트럼 조사결과 대두는 단백질이나 아미노산의 amide bond region (

Monthly metabolic changes and PLS prediction of carotenoid content of citrus fruit by combined Fourier transform infrared spectroscopy and quantitative HPLC analysis

1,700{\sim}1,500cm^{-1}

Discrimination of High Functional African Yams Using FT-IR Fingerprinting Combined by Multivariate Analysis and Quantitative Prediction of Functional Compounds by PLS Regression Modeling

), 핵산이나 인지질의 phosphodiester groups (

Establishment of Discrimination System Using Multivariate Analysis of FT-IR Spectroscopy Data from Different Species of Coffee ( C. arabica )

1,500{\sim}1,300cm^{-1}

Garlic (Allium sativum L.) using Multivariate Analysis of PLS Prediction Modeling of Garlic Acid Compound Content From FT-IR Spectral Data

) 그리고 탄수화물 등 다당류의 sugar region (

PLS Prediction Modeling of Cynarin Compounds Contents from FT-IR Spectral Data Artichoke (Cynara cardunculus var. scolymus L) Tuber using Multivariate Analysis

1,200{\sim}1,000cm^{-1}

The Growth of Temperature Growth Chamber of Discrimination System using Multivariate Analysis of FT-IR Spectroscopy Data from Papaya (Carica papaya)

)에서 계통별로 큰 차이가 이루어짐을 알 수 있었다. 총 29라인의 대두 계통별 시료로부터 지방산 함량을 조사한 결과 총 지방산의 함량은 건조 시료 0.1 g 당

Establishment of Discrimination System using Multivariate Analysis of FT-IR Spectroscopy Data from Different Species of Artichoke (Cynara cardunculus var. scolymus L)

185.57{\mu}g

Establishment of Discrimination System Using Multivariate Analysis of FT-IR Spectroscopy Data from Artichoke (Cynara scolymus var. scolymus L) Flower Buds

에서