Affiliations 

  • 1 Department of Process Engineering, Kasdi-Merbah University Ouargla 30000 Algeria [email protected]
  • 2 Department of Chemistry and Environmental Science, New Jersey Institute of Technology Newark 07102 NJ USA
  • 3 Department of Mechanical Engineering, KPR Institute of Engineering and Technology Arasur Coimbatore 641407 Tamil Nadu India [email protected]
  • 4 Mechanical Engineering Department, King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia
  • 5 School of Geography, Earth and Environmental Sciences, University of Birmingham Edgbaston Birmingham B15 2TT UK [email protected]
  • 6 Institute of Engineering and Technology, Department of Mechanical Engineering, GLA University Mathura Uttar Pradesh 281406 India
  • 7 Research Centre for Nano-Materials and Energy Technology (RCNMET), School of Engineering and Technology, Sunway University No. 5, Jalan Universiti, Bandar Sunway Petaling Jaya 47500 Malaysia [email protected]
Nanoscale Adv, 2023 Feb 14;5(4):992-1010.
PMID: 36798507 DOI: 10.1039/d2na00236a

Abstract

The current COVID-19 pandemic, with its numerous variants including Omicron which is 50-70% more transmissible than the previously dominant Delta variant, demands a fast, robust, cheap, and easily deployed identification strategy to reduce the chain of transmission, for which biosensors have been shown as a feasible solution at the laboratory scale. The use of nanomaterials has significantly enhanced the performance of biosensors, and the addition of CNTs has increased detection capabilities to an unrivaled level. Among the various CNT-based detection systems, CNT-based field-effect transistors possess ultra-sensitivity and low-noise detection capacity, allowing for immediate analyte determination even in the presence of limited analyte concentrations, which would be typical of early infection stages. Recently, CNT field-effect transistor-type biosensors have been successfully used in the fast diagnosis of COVID-19, which has increased research and commercial interest in exploiting current developments of CNT field-effect transistors. Recent progress in the design and deployment of CNT-based biosensors for viral monitoring are covered in this paper, as are the remaining obstacles and prospects. This work also highlights the enormous potential for synergistic effects of CNTs used in combination with other nanomaterials for viral detection.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.