상세 보기
- Kim, Su Yeong;
- Lee, Jeong-Chan;
- Seo, Giwan;
- Woo, Jun Hee;
- Lee, Minho;
- ... Sim, Joo Yong;
- 외 4명
WEB OF SCIENCE
24SCOPUS
27초록
The recent global spread of COVID-19 stresses the importance of developing diagnostic testing that is rapid and does not require specialized laboratories. In this regard, nanomaterial thin-film-based immunosensors fabricated via solution processing are promising, potentially due to their mass manufacturability, on-site detection, and high sensitivity that enable direct detection of virus without the need for molecular amplification. However, thus far, thin-film-based biosensors have been fabricated without properly analyzing how the thin-film properties are correlated with the biosensor performance, limiting the understanding of property-performance relationships and the optimization process. Herein, the correlations between various thin-film properties and the sensitivity of carbon nanotube thin-film-based immunosensors are systematically analyzed, through which optimal sensitivity is attained. Sensitivities toward SARS-CoV-2 nucleocapsid protein in buffer solution and in the lysed virus are 0.024 [fg/mL](-1) and 0.048 [copies/mL](-1), respectively, which are sufficient for diagnosing patients in the early stages of COVID-19. The technique, therefore, can potentially elucidate complex relationships between properties and performance of biosensors, thereby enabling systematic optimization to further advance the applicability of biosensors for accurate and rapid point-of-care (POC) diagnosis.
키워드
- 제목
- Computational Method‐Based Optimization of Carbon Nanotube Thin‐Film Immunosensor for Rapid Detection of SARS‐CoV‐2 Virus
- 저자
- Kim, Su Yeong; Lee, Jeong-Chan; Seo, Giwan; Woo, Jun Hee; Lee, Minho; Nam, Jaewook; Sim, Joo Yong; Kim, Hyung-Ryong; Park, Edmond Changkyun; Park, Steve
- 발행일
- 2022-02
- 유형
- Article
- 저널명
- Small Science
- 권
- 2
- 호
- 2
- 페이지
- 1 ~ 9