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
송윤진 (중부대학교 한방제약과학과) 장준복 (중부대학교 한방제약과학과) 유지현 (중부대학교 한방제약과학과)
저널정보
대한본초학회 대한본초학회지(본초분과학회지) 대한본초학회지 제31권 제6호
발행연도
2016.1
수록면
21 - 28 (8page)

이용수

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

이 논문의 연구 히스토리 (3)

초록· 키워드

오류제보하기
Objectives : This study was performed to investigate the antioxidant activity of water extracts from Lycopus lucidus Turcz. ex Benth. leaves, stems and roots at the $100{\mu}g/m{\ell}$ concentration. Methods : The different part of Lycopus lucidus Turcz. ex Benth. extract was prepared using water. The antioxidant activities of polyphenol contents, total flavonoid contents, DPPH(1,1-diphenyl-2-picrylhydrazyl) free-radical scavenging activity, SOD like activity, hydroxyl radical, ABTS(2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid), $Fe^{2+}$ chelating, and nitrite scavenging activity. Results : The total polyphenol and total flavonoid content of leaves were the highest at $221.85{\mu}g/mg$ and $794.13{\mu}g/mg$, respectively. Electron donating ability was the 79.68% in the water extract from leaves. The ABTS radical scavenging activity of the hot extracts, leaves ${\gg}$ roots > stems was higher in the order. It was shown the highest at 94.53% in the water extract from leaves, which showed a value equal to 94.7% of ascorbic acid. The hydroxyl radical scavenging activity was the highest at 8.07% in the water extract from leaves. SOD like activity and $Fe^{2+}$chelating activity were leaves of 12.3% and 27%, respectively, which were much higher than those of any other parts. The nitrite scavenging ability of extracts was increased at pH 2.5, and those was the highest in leaves of 83.03%. Its were more than twice the 41.61% of BHT. Conclusion : The results suggest that Lycopus lucidus Turcz. ex Benth. can be used as nutraceutical foods and natural antioxidant.

목차

등록된 정보가 없습니다.

참고문헌 (45)

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