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
이지원 (한국과학기술원) (경희대학교(국제캠퍼스)) 서태석 (경희대학교)
저널정보
한국바이오칩학회 BioChip Journal BioChip Journal Vol.13 No.3
발행연도
2019.1
수록면
243 - 250 (8page)

이용수

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

초록· 키워드

오류제보하기
We have developed a novel paper-based molecular pathogen diagnostic method by combining the direct loop-mediated isothermal amplification (Direct LAMP) in a paper reactor and an immunochromatographic strip (ICS) detection without any DNA preparation step. The mineral paper is durable, oil- and tear-resistant, and waterproof, so it is a proper material for point-of-care (POC) testing owing to facile chip fabrication, cost-effectiveness, and disposability. The mineral paper was utilized as a substrate to construct the reactor for gene amplification based on the principle of origami without using an expensive and complicated process. In this novel paper reactor, we performed the Direct LAMP reaction, which is a direct isothermal DNA amplification without any sample preparation step such as cell lysis, DNA extraction and purification for amplifying specific target gene. After the Direct LAMP reaction in a paper reactor, a capillary tube was employed to take an appropriate amount (~ 2 mL) of amplicons in order to transfer the LAMP product to an ICS. The use of the ICS allowed us to perform the simple and rapid colorimetric detection of the resultant amplified target genes by naked eyes, thereby confirming the presence of the pathogen in a sample in a user-friendly way. In this platform, we could simultaneously identify Staphylococcus aureus and Escherichia coli O157:H7 contaminated in human blood or milk. The whole molecular diagnostic process (the Direct LAMP in a mineral paper plus the ICS detection) could be conducted in a paper substrate, so the proposed method would be ideal for pathogen detection in resourcelimited environments.

목차

등록된 정보가 없습니다.

참고문헌 (25)

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