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, Jae-Kwang (National Academy of Agricultural Science, RDA) Ryu, Tae-Hun (National Academy of Agricultural Science, RDA) Sohn, Soo-In (National Academy of Agricultural Science, RDA) Kim, Jun-Heong (National Academy of Agricultural Science, RDA) Chu, Sang-Mi (National Academy of Agricultural Science, RDA) Yu, Chang-Yeon (College of Agriculture and Life Science, Kangwon National University) Baek, Hyung-Jin (National Academy of Agricultural Science, RDA)
저널정보
한국응용생명화학회 Applied Biological Chemistry Applied Biological Chemistry 제52권 제2호
발행연도
2009.1
수록면
186 - 192 (7page)

이용수

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

초록· 키워드

오류제보하기
Genetically modified (GM) Chinese cabbage containing the bar gene was compared to 24 non-GM Chinese cabbage varieties to evaluate unwanted changes in GM crops using HPLC-DAD-based metabolic fingerprinting to characterize polar metabolites containing flavonoids. No new compounds distinguishing GM crops from non-GM crops were observed using this technique. The GM crops had the similar flavonoid value as its nontransgenic counterpart (cv. Samjin). Moreover, the luteolin, quercetin, and kaempferol contents in GM Chinese cabbage were within the range of the 24 cultivars. The metabolome database included major 26 chemical species, which were analyzed with principal component analysis. The results clearly demonstrated that the time of sampling affects the metabolome. Moreover, the metabolic fingerprints showed a range of natural variability in the GM Chinese cabbage that was similar to that of the control at all times of sampling. Metabolic fingerprinting could potentially provide an innovative method for safety assessments of genetically modified organisms.

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