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MXene-Graphene Field-Effect Transistor Sensing of Influenza Virus and SARS-CoV-2
ACS Omega
  • Yanxiao Li
  • Zhekun Peng
  • Natalie J. Holl
  • Md Rifat Hassan
  • John M. Pappas
  • Congjie Wei
  • Omid Hoseini Izadi
  • Yang Wang, Missouri University of Science and Technology
  • Xiangyang Dong, Missouri University of Science and Technology
  • Cheng Wang, Missouri University of Science and Technology
  • Yue-Wern Huang, Missouri University of Science and Technology
  • Donghyun Kim, Missouri University of Science and Technology
  • Chenglin Wu, Missouri University of Science and Technology
Abstract

An MXene-graphene field-effect transistor (FET) sensor for both influenza virus and 2019-nCoV sensing was developed and characterized. The developed sensor combines the high chemical sensitivity of MXene and the continuity of large-area high-quality graphene to form an ultra-sensitive virus-sensing transduction material (VSTM). Through polymer linking, we are able to utilize antibody-antigen binding to achieve electrochemical signal transduction when viruses are deposited onto the VSTM surface. The MXene-graphene VSTM was integrated into a microfluidic channel that can directly receive viruses in solution. The developed sensor was tested with various concentrations of antigens from two viruses: inactivated influenza A (H1N1) HA virus ranging from 125 to 250,000 copies/mL and a recombinant 2019-nCoV spike protein ranging from 1 fg/mL to 10 pg/mL. The average response time was about ∼50 ms, which is significantly faster than the existing real-time reverse transcription-polymerase chain reaction method ( > 3 h). The low limit of detection (125 copies/mL for the influenza virus and 1 fg/mL for the recombinant 2019-nCoV spike protein) has demonstrated the sensitivity of the MXene-graphene VSTM on the FET platform to virus sensing. Especially, the high signal-to-viral load ratio (∼10% change in source-drain current and gate voltage) also demonstrates the ultra-sensitivity of the developed MXene-graphene FET sensor. In addition, the specificity of the sensor was also demonstrated by depositing the inactivated influenza A (H1N1) HA virus and the recombinant 2019-nCoV spike protein onto microfluidic channels with opposite antibodies, producing signal differences that are about 10 times lower. Thus, we have successfully fabricated a relatively low-cost, ultrasensitive, fast-responding, and specific inactivated influenza A (H1N1) and 2019-nCoV sensor with the MXene-graphene VSTM.

Department(s)
Civil, Architectural and Environmental Engineering
Second Department
Mechanical and Aerospace Engineering
Third Department
Biological Sciences
Fourth Department
Electrical and Computer Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Second Research Center/Lab
Intelligent Systems Center
Comments

Yanxiao Li, Congjie Wei, Xiangyang Dong, and Chenglin Wu gratefully acknowledge financial support of this work by the National Science Foundation through grant no. CMMI-1930881. These authors also acknowledge funding support from Mid-America Transportation Center and Missouri Department of Transportation.

Keywords and Phrases
  • COVID-19
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2021 The Authors, All rights reserved.
Creative Commons Licensing
Creative Commons Attribution 4.0
Publication Date
3-16-2021
Publication Date
16 Mar 2021
Disciplines
Citation Information
Yanxiao Li, Zhekun Peng, Natalie J. Holl, Md Rifat Hassan, et al.. "MXene-Graphene Field-Effect Transistor Sensing of Influenza Virus and SARS-CoV-2" ACS Omega Vol. 6 Iss. 10 (2021) p. 6643 - 6653 ISSN: 2470-1343
Available at: http://works.bepress.com/donghyun-bill-kim/71/