Dual-Mode Graphene Field-Effect Transistor Biosensor with Isothermal Nucleic Acid Amplificationopen access
- Authors
- Kim, Hyo Eun; Schuck, Ariadna; Park, Hyeonseek; Chung, Doo Ryeon; Kang, Minhee; Kim, Yong-Sang
- Issue Date
- 8-Feb-2024
- Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
- Keywords
- colorimetric detection; graphene field-effect transistor; loop-mediated isothermal amplification; multi-array; SARS-CoV-2
- Citation
- Biosensors, v.14, no.2
- Indexed
- SCIE
SCOPUS
- Journal Title
- Biosensors
- Volume
- 14
- Number
- 2
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/109959
- DOI
- 10.3390/bios14020091
- ISSN
- 2079-6374
2079-6374
- Abstract
- Despite a substantial increase in testing facilities during the pandemic, access remains a major obstacle, particularly in low-resource and remote areas. This constraint emphasizes the need for high-throughput potential point-of-care diagnostic tools in environments with limited resources. Loop-mediated isothermal amplification (LAMP) is a promising technique, but improvements in sensitivity are needed for accurate detection, especially in scenarios where the virus is present in low quantities. To achieve this objective, we present a highly sensitive detection approach of a dual-mode graphene-based field-effect transistor (G-FET) biosensor with LAMP. The G-FET biosensor, which has a transparent graphene microelectrode array on a glass substrate, detects LAMP products in less than 30 min using both observable color changes and Dirac point voltage measurements, even in samples with low viral concentrations. This dual-mode G-FET biosensor emerges as a potential alternative to conventional RT-PCR for severe acute respiratory syndrome-associated coronavirus (SARS-CoV)-2 detection or point-of-care testing, particularly in resource-constrained scenarios such as developing countries. Moreover, its capacity for colorimetric detection with the naked eye enhances its applicability in diverse settings. © 2024 by the authors.
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- Appears in
Collections - Information and Communication Engineering > School of Electronic and Electrical Engineering > 1. Journal Articles
- Medicine > Department of Medicine > 1. Journal Articles
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