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Carbon-based biosensors: Next-generation diagnostic tool for target-specific detection of SARS-CoV-2 (COVID-19)
•Nanobiotechnology-based biosensing approach for SARS-CoV-2 detection.•Highlighting the recent advances in PoC-based carbon biosensors.•Detection mechanism of SARS-CoV-2 via carbon nanomaterials has been elucidated.•Several carbon nanomaterials in SARS-CoV-2 detection have been discussed. Severe acu...
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Published in: | Talanta open 2023-08, Vol.7, p.100218-100218, Article 100218 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Nanobiotechnology-based biosensing approach for SARS-CoV-2 detection.•Highlighting the recent advances in PoC-based carbon biosensors.•Detection mechanism of SARS-CoV-2 via carbon nanomaterials has been elucidated.•Several carbon nanomaterials in SARS-CoV-2 detection have been discussed.
Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) was declared a global pandemic in 2020. Having rapidly spread around the globe, with the emergence of new variants, there is a crucial need to develop diagnostic kits for its rapid detection. Since it validated accuracy and reliability, the reverse transcription polymerase chain reaction (RT-PCR) test has been declared the gold standard for disease detection. However, despite its reliability, the requirement of specialized facilities, reagents, and duration of a PCR run limits its usage for rapid detection. There is thus a continuous increase in the design and development of rapid, point-of-care (PoC), and cost-effective diagnostic kits. In this review, we discuss the potential of carbon-based biosensors for target-specific detection of coronavirus disease 19 (COVID-19) and present an overview of investigation within the timeframe of the last four years (2019–2022), which have developed novel platforms using carbon nanomaterial-based approaches for viral detection. The approaches discussed offer rapid, accurate, and cost-effective strategies for COVID-19 detection for healthcare personnel and research workers.
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ISSN: | 2666-8319 2666-8319 |
DOI: | 10.1016/j.talo.2023.100218 |