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적외선 및 핵자기 공명 분광법을 이용한 다양한 식물체의 대사군 분석

Title
적외선 및 핵자기 공명 분광법을 이용한 다양한 식물체의 대사군 분석
Other Titles
Metabolic Fingerprinting for Diverse Higher Plants using Infrared, and Nuclear Magnetic Resonance Spectroscopy
Author
곽철원
Alternative Author(s)
Kwak Chul-Won
Advisor(s)
정회일
Issue Date
2007-08
Publisher
한양대학교
Degree
Master
Abstract
Molecular spectroscopy has been utilized for fast metabolic fingerprinting with the combination of multi-variate analysis. NMR and IR spectroscopy was mainly used in this study. First, The utility of infrared (IR) spectroscopy for the determination of ripeness of strawberry has been successfully demonstrated. Transmission IR spectra were collected using dried liquid extracts from fleshes of strawberries. Overall IR feature provided fairly noticeable differences and the ripeness stage was clearly identified using principal component analysis (PCA). Although all of the extracted components contributed to the resulting spectral features for discrimination, the variation of carbohydrate and amide residues played a major role for providing the selective spectral feature. Additionally, NMR spectra were also collected to quantify the concentrations of three small sugars (a-glucose, b-glucose and sucrose) as well as evaluate NMR spectral features at each ripeness step. The concentrations of three sugars increased from early to late growth stage. Second, the classification of transgenic yeast has been attempted. In first study, we knew that the naked eyes about ripeness of strawberry is able to be determined by IR spectroscopy. The transgenic yeast cannot see the variation of metabolite with naked eyes. But, the variation of metabolite exist in yeast cell. Samples were used the control vector and known transgenic yeast. This study was presented about this variation using extracted yeast cell and medium. Finally, the determination of unknown transgenic Arabidopsis was enforced by IR spectra. In this section, The Arabidopsis wasn't knew about transgenic gene and we cannot see the variation with naked eyes. then, PCA analysis will classified the estimated sample as a mutant. The normal PCA and PCA after first differentiation were used for this analysis. The estimated mutants were analyzed by NMR spectroscopy. NMR spectra were presented that each mutant have different patterns about control and transgenic samples.
URI
https://repository.hanyang.ac.kr/handle/20.500.11754/148589http://hanyang.dcollection.net/common/orgView/200000407536
Appears in Collections:
GRADUATE SCHOOL[S](대학원) > CHEMISTRY(화학과) > Theses (Master)
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