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    Rapid Point-of-Care COVID-19 Diagnosis with a Gold-Nanoarchitecture-Assisted Laser-Scribed Graphene Biosensor

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    2_ac-2021-014446.R2_Proof_hi.pdf
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    Description:
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    Type
    Article
    Authors
    Beduk, Tutku cc
    Beduk, Duygu
    De Oliveira Filho, Jose
    Zihnioglu, Figen
    Cicek, Candan
    Sertoz, Ruchan
    Arda, Bilgin
    Goksel, Tuncay
    Turhan, Kutsal
    Salama, Khaled N. cc
    Timur, Suna cc
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Electrical and Computer Engineering
    Electrical and Computer Engineering Program
    Material Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Sensors Lab
    Date
    2021-06-03
    Online Publication Date
    2021-06-03
    Print Publication Date
    2021-06-22
    Embargo End Date
    2022-06-03
    Submitted Date
    2021-04-06
    Permanent link to this record
    http://hdl.handle.net/10754/669398
    
    Metadata
    Show full item record
    Abstract
    The global pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has revealed the urgent need for accurate, rapid, and affordable diagnostic tests for epidemic understanding and management by monitoring the population worldwide. Though current diagnostic methods including real-time polymerase chain reaction (RT-PCR) provide sensitive detection of SARS-CoV-2, they require relatively long processing time, equipped laboratory facilities, and highly skilled personnel. Laser-scribed graphene (LSG)-based biosensing platforms have gained enormous attention as miniaturized electrochemical systems, holding an enormous potential as point-of-care (POC) diagnostic tools. We describe here a miniaturized LSG-based electrochemical sensing scheme for coronavirus disease 2019 (COVID-19) diagnosis combined with three-dimensional (3D) gold nanostructures. This electrode was modified with the SARS-CoV-2 spike protein antibody following the proper surface modifications proved by X-ray photoelectron spectroscopy (XPS) and scanning electron microscopy (SEM) characterizations as well as electrochemical techniques. The system was integrated into a handheld POC detection system operated using a custom smartphone application, providing a user-friendly diagnostic platform due to its ease of operation, accessibility, and systematic data management. The analytical features of the electrochemical immunoassay were evaluated using the standard solution of S-protein in the range of 5.0-500 ng/mL with a detection limit of 2.9 ng/mL. A clinical study was carried out on 23 patient blood serum samples with successful COVID-19 diagnosis, compared to the commercial RT-PCR, antibody blood test, and enzyme-linked immunosorbent assay (ELISA) IgG and IgA test results. Our test provides faster results compared to commercial diagnostic tools and offers a promising alternative solution for next-generation POC applications.
    Citation
    Beduk, T., Beduk, D., de Oliveira Filho, J. I., Zihnioglu, F., Cicek, C., Sertoz, R., … Timur, S. (2021). Rapid Point-of-Care COVID-19 Diagnosis with a Gold-Nanoarchitecture-Assisted Laser-Scribed Graphene Biosensor. Analytical Chemistry. doi:10.1021/acs.analchem.1c01444
    Sponsors
    The authors would like to express their acknowledgments to the financial support from Ege University, Research Foundation (Project No. TOA-2020-21862) and King Abdullah University of Science and Technology (KAUST), Saudi Arabia.
    Publisher
    American Chemical Society (ACS)
    Journal
    Analytical Chemistry
    DOI
    10.1021/acs.analchem.1c01444
    PubMed ID
    34081452
    Additional Links
    https://pubs.acs.org/doi/10.1021/acs.analchem.1c01444
    ae974a485f413a2113503eed53cd6c53
    10.1021/acs.analchem.1c01444
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Material Science and Engineering Program; Sensors Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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