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Wide-range and selective detection of SARS-CoV-2 DNA via surface modification of electrolyte-gated IGZO thin-film transistors.
Hwang, Chuljin; Baek, Seokhyeon; Song, Yoonseok; Lee, Won-June; Park, Sungjun.
Afiliação
  • Hwang C; Department of Electrical and Computer Engineering, Ajou University, Suwon, Gyeonggi-do 16499, Republic of Korea.
  • Baek S; Department of Intelligence Semiconductor Engineering, Ajou University, Suwon, Gyeonggi-do 16499, Republic of Korea.
  • Song Y; Department of Intelligence Semiconductor Engineering, Ajou University, Suwon, Gyeonggi-do 16499, Republic of Korea.
  • Lee WJ; Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA.
  • Park S; Department of Electrical and Computer Engineering, Ajou University, Suwon, Gyeonggi-do 16499, Republic of Korea.
iScience ; 27(3): 109061, 2024 Mar 15.
Article em En | MEDLINE | ID: mdl-38361625
ABSTRACT
The 2019 coronavirus pandemic resulted in a massive global healthcare crisis, highlighting the necessity to develop effective and reproducible platforms capable of rapidly and accurately detecting SARS-CoV-2. In this study, we developed an electrolyte-gated indium-gallium-zinc-oxide (IGZO) thin-film transistor with sequential surface modification to realize the low limit of detection (LoD <50 fM) and a wide detection range from 50 fM to 5 µM with good linearity (R2 = 0.9965), and recyclability. The surface chemical modification was achieved to anchor the single strand of SARS-CoV-2 DNA via selective hybridization. Moreover, the minute electrical signal change following the chemical modification was investigated by in-depth physicochemical analytical techniques. Finally, we demonstrate fully recyclable biosensors based on oxygen plasma treatment. Owing to its cost-effective fabrication, rapid detection at the single-molecule level, and low detection limit, the proposed biosensor can be used as a point-of-care platform to perform timely and effective SARS-CoV-2 detection.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: IScience Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: IScience Ano de publicação: 2024 Tipo de documento: Article