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
한효구 (강릉원주대학교) Park Yang Chan (NEXBIO Co., Ltd.) Kim Kwang-Kyu (NEXBIO Co., Ltd.) Kim Hak Ju (NEXBIO Co., Ltd.) Seo Han Kyu (Rapigen Biologicals, Inc.) Park Jeanho (Material and Component Convergence R&D Department , Korea Institute of Industrial Technology (KITECH)) Moon Jae Sun (Plant System Engineering Research Center , Korean Research Institute of Bioscience and Biotechnology) 안준기 (한국생산기술연구원)
저널정보
한국바이오칩학회 BioChip Journal BioChip Journal Vol.18 No.2
발행연도
2024.6
수록면
310 - 317 (8page)
DOI
10.1007/s13206-024-00149-z

이용수

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

초록· 키워드

오류제보하기
This study presents a novel method for detecting plant viruses by combining a personal glucose meter (PGM)-based cascade enzymatic reaction (CER) with loop-mediated isothermal amplifi cation (LAMP). This technique exploits the consumption of deoxynucleotides (dNTPs) during the LAMP process as a substrate for CER, leading to a measurable change in glucose concentration. This change can be detected using PGM, enabling the identifi cation of the presence or absence of the target virus. This method provide a more effi cient alternative to traditional methods like ELISA and PCR. It overcomes their limi- tation in terms of laboratory equipment requirement, sensitivity, and on-site applicability. In addition, we also developed a portable diagnostic device that integrates a heating block with a glucose measurement module. By utilizing this device, the rapid and precise detection of various plant viruses, including horseradish latent virus (HRLV), onion yellow dwarf virus (OYDV), soybean yellow common mosaic virus (SYCMV), cnidium vein yellowing virus 1 (CnVYV-1), and perilla mosaic virus (PerMV), successfully achieved within 40 min. This advancement off ers a practical and cost-eff ective solution for managing plant pathogen threats in agriculture.

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!

최근 본 자료

전체보기

댓글(0)

0