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

  • Golnoush Zamiri
  • , Arman Amani Babadi
  • , Vishal Chaudhary
  • , Arshid Numan
  • , Mohammad Khalid
  • , Rashmi Walvekar
  • , Ajit Khosla*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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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.

Original languageEnglish
Article number037501
JournalJournal of the Electrochemical Society
Volume170
Issue number3
DOIs
Publication statusPublished - 1 Mar 2023

Funding

The authors would like to thank Sunway University for supporting this work through the International Research Networking Grant Scheme (STR-IRNGS-SET-GAMRG-01–2022).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • biosensors
  • viral diseases
  • virus-detecting biosensors

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