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
Hyunkyung Kang (National Institute of Food and Drug Safety and Evaluation) Hang Sik Roh (National Institute of Food and Drug Safety and Evaluation) Hyemin Song (National Institute of Food and Drug Safety and Evaluation) Kwangmoon Lee (National Institute of Food and Drug Safety and Evaluation) Seung-Tae Chung (National Institute of Food and Drug Safety and Evaluation) Sang-ja Ban (National Institute of Food and Drug Safety and Evaluation) In Pil Mo (Chungbuk National University) Beum-Soo An (Pusan National University) Chi-Young Ahn (National Institute of Food and Drug Safety and Evaluation)
저널정보
한국독성학회 Toxicological Research Toxicological Research Vol.32 No.4
발행연도
2016.10
수록면
269 - 274 (6page)

이용수

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

초록· 키워드

오류제보하기
The potency of influenza vaccine is determined based on its hemagglutinin (HA) content. In general, single radial immunodiffusion (SRID) assay has been utilized as the standard method to measure HA content. However, preparation of reagents for SRID such as antigen and antibody takes approximately 2~3 months, which causes delays in the development of influenza vaccine. Therefore, quantification of HA content by other alternative methods is required. In this study, we measured HA contents of H1N1 antigen and H1N1 influenza vaccine by reverse phase-high performance liquid chromatography (RP-HPLC) methods. The presence of HA1 and HA2 was investigated by silver staining and Western blot assay. In addition, accuracy and repeatability of HA measurement by RP-HPLC were evaluated. Comparison of HA concentration by SRID and RP-HPLC revealed a precise correlation between the two methods. Our results suggest that RP-HPLC assay can replace SRID in the event of a pandemic flu outbreak for rapid vaccine development.

목차

INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

참고문헌 (9)

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

UCI(KEPA) : I410-ECN-0101-2017-513-001339527