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  • 02월 26일 17시 이후 : 초록수정 불가능, 일정확인 및 검색만 가능

제115회 대한화학회 학술발표회, 총회 및 기기전시회 안내 Plasmon assisted fluoro-immunoassay for influenza virus sensing system using Au NPs decorated MWCNT

등록일
2015년 2월 25일 14시 12분 40초
접수번호
1333
발표코드
ANAL.P-579 이곳을 클릭하시면 발표코드에 대한 설명을 보실 수 있습니다.
발표시간
4월 15일 (수요일) 16:00~19:00
발표형식
포스터
발표분야
분석화학
저자 및
공동저자
오상진, 김정효1, 이재범2,*
부산대학교 인지메카트로닉스공학과, Korea
1부산대학교 인지메카트로닉스 공학과, Korea
2부산대학교 나노메디컬공학과, Korea

Recently, many carbon based nanomaterials have been interested because of their potential property. Among of them, Au nanoparticles (NPs) decorated carbon nanotube (AuCNT) has been spotlighted due to its great functions such as optical, plasmonic and catalytic properties and so on. Here, we have successfully synthesized AuCNT at the room temperature with mild reduction condition. In particular, this AuCNT possesses plasmonic property, so if some fluorescence NPs are located near AuCNT nanostructure, their FL intensity could be enhanced by plasmonic resonance energy transfer (PRET). Therefore we demonstrated the influenza virus detection using this phenomenon, and this sensing system is called as plasmon assisted fluoro-immunoassay (PAFI). To detect the virus, influenza virus antibodies (Abs) were decorated on the surface of AuCNT and CdTe NPs, respectively. Subsequently, different amounts of influenza virus were added into Abs modified nanomaterials environment. In this case, two different nanostructures were bound by virus-antibody reaction. As increased the virus concentration, FL intensity was also increased. It established that the binding ratio between AuCNT and CdTe NPs was determined corresponding to the virus concentration. Moreover, it meant that influenza virus was detected by FL enhancement monitoring. Through our system, 3 types of virus were monitored, and those are influenza virus A/Beijing/262/95 (H1N1), Influenza virus/New Caledonia/20/99IvR116 (H1N1) and Influenza virus A/Yokohama/110/2009 (H3N2). In our novel sensing system case, the minimum detection limitation was 0.1 pg/ml. In addition, the medical sample (Influenza virus A/Yokohama/110/2009 (H3N2)) was monitored in a detection range from 50 to 10,000 PFU/ml with a detection limit of 50 PFU/ml. Furthermore, this system possesses excellent selectivity for influenza virus detection. Therefore, this system shows high potential for sensing platform and it is extraordinarily valuable not only to detect the influenza virus but also to apply the various disease sensing.


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