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Discrimination of the H1N1 and H5N2 Variants of Influenza A Virus Using an Isomeric Sialic Acid-Conjugated Graphene Field-Effect Transistor

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Download Hi-Res ImageDownload to MS-PowerPointCite This:Anal. Chem. 2023, 95, 13, 5532-5541
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    Discrimination of the H1N1 and H5N2 Variants of Influenza A Virus Using an Isomeric Sialic Acid-Conjugated Graphene Field-Effect Transistor
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    • Sophia Nazir
      Sophia Nazir
      Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
      Department of Biotechnology, University of Science and Technology (UST), 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
      More by Sophia Nazir
    • Kyung Ho Kim
      Kyung Ho Kim
      Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
      More by Kyung Ho Kim
      Orcidhttps://orcid.org/0000-0003-3587-0877
    • Lina Kim
      Lina Kim
      Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
      More by Lina Kim
      Orcidhttps://orcid.org/0000-0001-6460-1700
    • Sung Eun Seo
      Sung Eun Seo
      Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
      More by Sung Eun Seo
      Orcidhttps://orcid.org/0000-0001-6261-9309
    • Pan Kee Bae
      Pan Kee Bae
      BioNano Health Guard Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
      More by Pan Kee Bae
    • Jai Eun An
      Jai Eun An
      Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
      More by Jai Eun An
    • Oh Seok Kwon*
      Oh Seok Kwon
      SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Republic of Korea
      Department of Nano Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
      Infectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
      Department of Biotechnology, University of Science and Technology (UST), 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
      *Email: [email protected]
      More by Oh Seok Kwon
      Orcidhttps://orcid.org/0000-0002-5936-244X
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    Analytical Chemistry

    Cite this: Anal. Chem. 2023, 95, 13, 5532–5541
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    https://doi.org/10.1021/acs.analchem.2c04273
    Published March 22, 2023
    Copyright © 2023 American Chemical Society
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    Abstract

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    There has been a continuous effort to fabricate a fast, sensitive, and inexpensive system for influenza virus detection to meet the demand for effective screening in point-of-care testing. Herein, we report a sialic acid (SA)-conjugated graphene field-effect transistor (SA-GFET) sensor designed using α2,3-linked sialic acid (3′-SA) and α2,6-linked sialic acid (6′-SA) for the detection and discrimination of the hemagglutinin (HA) protein of the H5N2 and H1N1 viruses. 3′-SA and 6′-SA specific for H5 and H1 influenza were used in the SA-GFET to capture the HA protein of the influenza virus. The net charge of the captured viral sample led to a change in the electrical current of the SA-GFET platform, which could be correlated to the concentration of the viral sample. This SA-GFET platform exhibited a highly sensitive response in the range of 101–106 pfu mL–1, with a limit of detection (LOD) of 101 pfu mL–1 in buffer solution and a response time of approximately 10 s. The selectivity of the SA-GFET platform for the H1N1 and H5N2 influenza viruses was verified by testing analogous respiratory viruses, i.e., influenza B and the spike protein of SARS-CoV-2 and MERS-CoV, on the SA-GFET. Overall, the results demonstrate that the developed dual-channel SA-GFET platform can potentially serve as a highly efficient and sensitive sensing platform for the rapid detection of infectious diseases.

    Copyright © 2023 American Chemical Society

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    Supporting Information

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.analchem.2c04273.

    • Experimental procedures; fabrication of CVD-grown graphene; XPS narrow spectrum; plaque assay of virus; comparison data of SA-GFET toward H1N1 and H5N2; response time of SA-GFET against each type of viral target; evolution of storage stability of the SA-GFET; and the performance comparison data of various biosensor for virus detection (PDF)

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    Cited By

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    This article is cited by 10 publications.

    1. Zhicheng Zhang, Jing‐Jing Hu, Shijun Lin, Jiajun Wu, Fan Xia, Xiaoding Lou. Field effect transistor biosensors for healthcare monitoring. Interdisciplinary Medicine 2024, 2 (4) https://doi.org/10.1002/INMD.20240032
    2. Sophia Nazir, Rabail Azhar Iqbal. Recent Progress in the Application of Tau Protein Biosensors for Diagnosis of Neurodegenerative Diseases. Applied Biochemistry and Biotechnology 2024, 196 (10) , 7476-7502. https://doi.org/10.1007/s12010-024-04960-0
    3. Xiangdong Kong, Yunjiao Wang, Deping Huang, Xin Li, Biao Shi, Daming Zhou, Rong Tian, Chaker Tlili, Deqiang Wang. Graphene-based field-effect transistor biosensor for prostate-specific antigen detection. Microchemical Journal 2024, 205 , 111346. https://doi.org/10.1016/j.microc.2024.111346
    4. Kyung Ho Kim, Yejin Kim, Sung Eun Seo, Chul Soon Park, Jinyoung Kim, Yu Kyung Kim, Hyoung-il Kim, Yoo Min Park, Oh Seok Kwon. Ultra-stable gold nanoparticles based on N-heterocyclic carbene interfacial compound. Applied Physics Reviews 2024, 11 (3) https://doi.org/10.1063/5.0210703
    5. Sophia Nazir. Recent Advances and Applications of Graphene-Based Biosensors for Blood-Based Biomarkers in Neurodegenerative Diseases. Biomedical Materials & Devices 2024, 2022 https://doi.org/10.1007/s44174-024-00180-6
    6. Faiza Yahia, Farah Nasri, Lyes Douadji, Atef Thamri, Deqiang Wang, Chaker Tlili. Field-effect Transistor Biosensors Based on Nanomaterials for Zoonotic Pathogen Detection. 2024, 127-153. https://doi.org/10.1039/BK9781837673421-00127
    7. Joydip Sengupta, Chaudhery Mustansar Hussain. Graphene transistor-based biosensors for rapid detection of SARS-CoV-2. Bioelectrochemistry 2024, 156 , 108623. https://doi.org/10.1016/j.bioelechem.2023.108623
    8. Kyung Ho Kim, Eunsu Ryu, Zinah Hilal Khaleel, Sung Eun Seo, Lina Kim, Yong Ho Kim, Hyun Gyu Park, Oh Seok Kwon. Plasmonic digital PCR for discriminative detection of SARS-CoV-2 variants. Biosensors and Bioelectronics 2024, 246 , 115859. https://doi.org/10.1016/j.bios.2023.115859
    9. Shuo Chen, Yongkang Lyu, Yang Sun, Qin Wei, Chuansong Chen, Lei Chen, Xinhao Zhang, Heqi Ma, Tianyu Sun, Wen Gao, Yazhe Xu, Baoyuan Man, Qingtian Meng, Cheng Yang. Aromatic Ring–Mediated Nonspecific Signaling Mechanism and Nafion‐Dominated Solution in Graphene Field‐Effect Transistor–Based Nucleic Acid Biosensors. Advanced Functional Materials 2023, 33 (43) https://doi.org/10.1002/adfm.202303832
    10. Sophia Nazir. Recent progress of molecular diagnosis via CRISPR Cas-based biosensors and bioassays. Talanta Open 2023, 7 , 100225. https://doi.org/10.1016/j.talo.2023.100225
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    Analytical Chemistry

    Cite this: Anal. Chem. 2023, 95, 13, 5532–5541
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.analchem.2c04273
    Published March 22, 2023
    Copyright © 2023 American Chemical Society
    Request reuse permissions

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