Zamiri, Golnoush and Babadi, Arman Amani and Chaudhary, Vishal and Numan, Arshid and Khalid, Mohammad and Walvekar, Rashmi and Khosla, Ajit (2023) Infection management of virus-diagnosing biosensors based on MXenes: An overview. Journal of The Electrochemical Society, 170 (3). ISSN 0013-4651, DOI https://doi.org/10.1149/1945-7111/acada5.
Full text not available from this repository.Abstract
The occurrence of sudden viral outbreaks, including (Covid-19, H1N1 flu, H5N1 flu) has globally challenged the existing medical facilities and raised critical concerns about saving affected lives, especially during pandemics. The detection of viral infections at an early stage using biosensors has been proven to be the most effective, economical, and rapid way to combat their outbreak and severity. However, state-of-the-art biosensors possess bottlenecks of long detection time, delayed stage detection, and sophisticated requirements increasing the cost and complexities of biosensing strategies. Recently, using two-dimensional MXenes as a sensing material for architecting biosensors has been touted as game-changing technology in diagnosing viral diseases. The unique surface chemistries with abundant functional terminals, excellent conductivity, tunable electric and optical attributes and high specific surface area have made MXenes an ideal material for architecting virus-diagnosing biosensors. There are numerous detecting modules in MXene-based virus-detecting biosensors based on the principle of detecting various biomolecules like viruses, enzymes, antibodies, proteins, and nucleic acid. This comprehensive review critically summarizes the state-of-the-art MXene-based virus-detecting biosensors, their limitations, potential solutions, and advanced intelligent prospects with the integration of internet-of-things, artificial intelligence, 5G communications, and cloud computing technologies. It will provide a fundamental structure for future research dedicated to intelligent and point-of-care virus detection biosensors.
| Item Type: | Article |
|---|---|
| Funders: | Sunway University See opportunities See opportunities [Grant No: STR-IRNGS-SET-GAMRG-01–2022] |
| Uncontrolled Keywords: | Antibodies; Diagnosis; Nucleic acids; Surface chemistry; Viruses |
| Subjects: | R Medicine > R Medicine (General) > Medical technology T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering Faculty of Engineering > Department of Mechanical Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 10 Nov 2024 05:45 |
| Last Modified: | 10 Nov 2024 05:45 |
| URI: | http://eprints.um.edu.my/id/eprint/38570 |
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