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학술발표회초록보기

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  • 09월 01일 18시 이후 : 초록수정 불가능, 일정확인 및 검색만 가능

제118회 대한화학회 학술발표회, 총회 및 기기전시회 안내 Nano-Pillar Array Chip for the Rapid and Sensitive Detection of Food Poisoning Bacteria

등록일
2016년 8월 25일 16시 00분 33초
접수번호
3126
발표코드
ANAL2.O-23 이곳을 클릭하시면 발표코드에 대한 설명을 보실 수 있습니다.
발표시간
금 10시 : 06분
발표형식
구두발표
발표분야
분석화학 - Oral Presentation of Young Analytical Chemists Ⅱ
저자 및
공동저자
고주희, 박성규1, 이상엽2, 주재범2,*
한양대학교 나노센서연구소, Korea
1재료연구소 표면기술연구본부, Korea
2한양대학교 생명나노공학과, Korea
Rapid and sensitive identification of pathogenic bacteria is a key factor for the early diagnosis of infectious disease. Serological culturing-based assays are extensively used for the identification of bacteria but it takes a long time due to their culturing process. Polymerase chain reaction (PCR) is another analytical tool for detecting bacteria. However, PCR also needs an amplification of target genes using thermo-cycling steps because the concentration of target gene sequence is relatively lower than that of unrelated gene sequences. In many cases, amplification process causes false-positive signals and wrong identification. To resolve these problems, we developed a novel amplification-free SERS imaging sensor for the rapid and sensitive detection of Salmonella typhimurium bacteria. This technique does not require any cell culture or DNA amplification processes due to its highly sensitive detection capability. For this purpose, we fabricated antibody-conjugated SERS nano tags and three-dimensional nanopillar-pattered SERS substrates. The analytical strategy involves 3 steps; (1) immobilization of capture antibodies on nano-pillar substrate, (2) capturing of bacteria using specific interaction between antibodies and bacteria, and (3) labelling of bacteria with SERS nano tags and their SERS imaging detection. This SERS-based imaging sensor allows the limit of detection (LOD) of Salmonella typhimurium bacteria as low as 4,000 CFU/mL without any sample enrichment process. This SERS-based imaging technique is expected to be a potentially useful tool for the rapid and sensitive detection of pathogenic bacteria.

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