Article ; Online: Dual-Mode Graphene Field-Effect Transistor Biosensor with Isothermal Nucleic Acid Amplification.
2024 Volume 14, Issue 2
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 ... ...
| 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. |
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| MeSH term(s) | Humans ; COVID-19 ; Graphite ; SARS-CoV-2/genetics ; Molecular Diagnostic Techniques/methods ; Nucleic Acid Amplification Techniques/methods ; Biosensing Techniques/methods ; Nucleic Acids ; Sensitivity and Specificity |
| Chemical Substances | Graphite (7782-42-5) ; Nucleic Acids |
| Language | English |
| Publishing date | 2024-02-08 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ZDB-ID | 2662125-3 |
| ISSN | 2079-6374 ; 2079-6374 |
| ISSN (online) | 2079-6374 |
| ISSN | 2079-6374 |
| DOI | 10.3390/bios14020091 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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