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  • 09월 11일 00시 이후 : 초록수정 불가능, 일정확인 및 검색만 가능

제124회 대한화학회 학술발표회, 총회 및 기기전시회 안내 Highly sensitive in vitro diagnostics using SERS-based microdevices: current status & future

2019년 9월 6일 11시 51분 45초
AWARD-1 이곳을 클릭하시면 발표코드에 대한 설명을 보실 수 있습니다.
금 13시 : 30분
KCS - Award Lecture
저자 및
Jaebum Choo
Department of Chemistry, Chung-Ang University, Korea
Recently, surface-enhanced Raman scattering (SERS)-based bioassay platforms have been developed for highly sensitive in vitro diagnostics. For instance, SERS-based lateral flow immunoassay (LFA) biosensor has been developed to resolve problems associated with conventional LFA strips (e.g., limits in quantitative analysis and low sensitivity). With the SERS-based LFA strip, the presence of a target antigen can be identified through a colour change in the test line. Additionally, the highly sensitive quantitative evaluation of target antigens is possible by measuring SERS signals on the test line. To verify the feasibility of the SERS-based LFA strip platform, an immunoassay of staphylococcal enterotoxin B (SEB) and a DNA assay of HIV-1 virus were performed as model reactions. The limit of detection (LOD) values are much more sensitive than those achieved with the corresponding ELISA or PCR methods. The development of SERS-based microfluidic platforms has also attracted significant recent attention in the biological sciences. SERS is a highly sensitive detection modality, with microfluidic platforms providing many advantages over microscale methods, including high analytical throughput, facile automation and reduced sample requirements. Accordingly, the integration of SERS with microfluidic platforms offers significant utility in chemical and biological experimentation. Herein, we report a fully integrated SERS-based microdroplet platform for the automatic immunoassay of specific biomarkers. These novel SERS-based assay platforms are expected to be powerful clinical tools for in vitro disease diagnosis. In this presentation, recent advances in in vitro diagnostics using optical nanosensor technology will be discussed.