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
질문

논문 기본 정보

자료유형
학술저널
저자정보
Eun Jeong Park (Sangmyung University) Jun-Hyun Oh (Sangmyung University)
저널정보
한국식품저장유통학회 Food Science and Preservation 한국식품저장유통학회지 제26권 제4호
발행연도
2019.7
수록면
381 - 390 (10page)
DOI
10.11002/kjfp.2019.26.4.381

이용수

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

초록· 키워드

오류제보하기
Cutibacterium acnes and Staphylococcus aureus are recognized as pus-forming bacteria that trigger skin inflammation in acne. The goal of this research was to determine the antimicrobial activity of Korean mugworts including In-jin-ssuk (Artemisia iwayomogi) and Yak-ssuk (Artemisia princeps). Dried mugwort powders were extracted using water, ethanol and methanol. The antimicrobial activities of the extracts were evaluated by determining minimum inhibitory concentrations (MICs) and squares of inhibition zone widths. The chemical compositions of the chloroform fractions were analyzed by GC/MS. The inhibitory effects of the ethanol and methanol extracts of In-jin-ssuk (A. iwayomogi) (20 ㎎/mL) against C. acnes were significantly greater than the inhibitory effect of the water extract (p<0.05). Among various extracts, the ethanol extract of A. iwayomogi exhibited the greatest antimicrobial activity against S. aureus. The MICs of the chloroform fractions of ethanol- and methanol-extracted A. iwayomogi were determined to be 15 and 10 ㎎/mL, respectively, against both C. acnes and S. aureus. The chloroform fraction of the methanol extract exhibited squares of zone widths of 44 and 41 mm2 against C. acnes and S. aureus, respectively, which were the highest among the tested fractions. Scopoletin (484 ㎎/100 g) was found to be a major phenolic compound in the chloroform extract, while 2-furanmethanol (61 ㎎/100 g) and isofraxidin (55 ㎎/100 g) were minor phenolic compounds.

목차

Abstract
Introduction
Materials and Methods
Results and Discussion
References

참고문헌 (29)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2019-059-000954241