메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Kim, Tae Jin (Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University) Lee, Kyoung Bok (Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University) Baek, Seung-A (Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University) Choi, Jaehyuk (Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University) Ha, Sun-Hwa (Graduate School of Biotechnology, Crop Biotech Institute, Kyung Hee University) Lim, Sun-Hyung (National Academy of Agricultural Science, Rural Development Administration) Park, Soo-Yun (National Academy of Agricultural Science, Rural Development Administration) Yeo, Yunsoo (National Academy of Agricultural Science, Rural Development Administration) Park, Sang Un (Department of Crop Science, Chungnam National University) Kim, Jae Kwang (Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University)
저널정보
한국응용생명화학회 Applied Biological Chemistry Applied Biological Chemistry 제58권 제6호
발행연도
2015.1
수록면
909 - 918 (10page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
The lipophilic compounds in nine vegetables consumed in Korea were characterized for diversity in phytochemical content. We also analyzed the relationships among these compounds in terms of their contents. The profiles of 18 lipophilic compounds in the leaves were subjected to data-mining processes, including principal component analysis (PCA), Pearson's correlation analysis, hierarchical clustering analysis (HCA), and partial least squares discriminant analysis (PLS-DA). These species could be distinguished by means of the PCA results. HCA of these phytochemicals resulted in clusters derived from closely related biochemical pathways. PLS-DA showed significant separation among extracts from the following four families: Amaranthaceae, Asteraceae, Brassicaceae, and Malvaceae. The major metabolites that facilitated differentiation in the PLS-DA model were campesterol, ${\beta}$-sitosterol, ${\beta}$-amyrin, stigmasterol, cholesterol, octacosanol (c28), ${\alpha}$-amyrin, and hexacosanol (c26). Chard contained high levels of triacontanol (c30), which was positively correlated with the c28 content (r = 0.746, p < 0.0001). Stigmasterol, ${\alpha}$-amyrin, and ${\beta}$-amyrin contents were higher in Asteraceae species including chicon, lettuce, and oak than other plant families. These results demonstrate the utility of metabolic profiling, combined with multivariate analysis, for discrimination of vegetable species as well as evaluation of food quality.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0