Infection management of virus-diagnosing biosensors based on MXenes: An overview

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 b...

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Main Authors: Zamiri, Golnoush, Babadi, Arman Amani, Chaudhary, Vishal, Numan, Arshid, Khalid, Mohammad, Walvekar, Rashmi, Khosla, Ajit
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Published: Electrochemical Society 2023
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Online Access:http://eprints.um.edu.my/38570/
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spelling my.um.eprints.385702024-11-10T05:45:37Z http://eprints.um.edu.my/38570/ Infection management of virus-diagnosing biosensors based on MXenes: An overview Zamiri, Golnoush Babadi, Arman Amani Chaudhary, Vishal Numan, Arshid Khalid, Mohammad Walvekar, Rashmi Khosla, Ajit Medical technology TJ Mechanical engineering and machinery 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. Electrochemical Society 2023-03 Article PeerReviewed 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 <https://doi.org/10.1149/1945-7111/acada5>. 10.1149/1945-7111/acada5
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Medical technology
TJ Mechanical engineering and machinery
spellingShingle Medical technology
TJ Mechanical engineering and machinery
Zamiri, Golnoush
Babadi, Arman Amani
Chaudhary, Vishal
Numan, Arshid
Khalid, Mohammad
Walvekar, Rashmi
Khosla, Ajit
Infection management of virus-diagnosing biosensors based on MXenes: An overview
description 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.
format Article
author Zamiri, Golnoush
Babadi, Arman Amani
Chaudhary, Vishal
Numan, Arshid
Khalid, Mohammad
Walvekar, Rashmi
Khosla, Ajit
author_facet Zamiri, Golnoush
Babadi, Arman Amani
Chaudhary, Vishal
Numan, Arshid
Khalid, Mohammad
Walvekar, Rashmi
Khosla, Ajit
author_sort Zamiri, Golnoush
title Infection management of virus-diagnosing biosensors based on MXenes: An overview
title_short Infection management of virus-diagnosing biosensors based on MXenes: An overview
title_full Infection management of virus-diagnosing biosensors based on MXenes: An overview
title_fullStr Infection management of virus-diagnosing biosensors based on MXenes: An overview
title_full_unstemmed Infection management of virus-diagnosing biosensors based on MXenes: An overview
title_sort infection management of virus-diagnosing biosensors based on mxenes: an overview
publisher Electrochemical Society
publishDate 2023
url http://eprints.um.edu.my/38570/
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score 13.223943