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Real-Time Detection of SARS-CoV-2 Nucleocapsid Antigen Using Data Analysis Software and IoT-Based Portable Reader with Single-Walled Carbon Nanotube Field Effect Transistor

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Abstract

Early detection of COVID-19 is crucial for pandemic control, necessitating the development of accurate, rapid, portable, and point-of-care testing devices. In this paper, we present a novel system comprising a carbon nanotube field-effect transistor (swCNT-FET) biosensor functionalized with SARS-CoV-2 nucleocapsid protein antibody (Ab-NP), an IoT-based portable reader, and data analysis software for real-time COVID-19 detection. The Ab-NP functionalized swCNT-FET designed to transduce the biological binding event between COVID-NP and Ab-NP into an electrical signal. A microcontroller-based portable reader, designed to meet the biosensor’s signal acquisition specifications, was implemented. The suggested system, incorporates Ab-NP/swCNT-FET, IoT-based portable reader, and data processing software, was successful detection of COVID-NP at fM concentrations, highlighting its potential for clinical applications.

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The data presented in this study are available on request from the author.

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Acknowledgements

This research was supported by Korea Basic Science Institute (National research Facilities and Equipment Center) grant funded by the Ministry of Education (2022R1A6C101B794), the National Research Foundation (NRF-2021R1A6A1A03039503). This work was financially supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT and MOE) (NRF-2020R1A2C1014918). This work was also supported by the Soonchunhyang University Research Fund and research grant from Seoul Woman’s University (2023-0008).

Funding

Soonchunhyang University, Seoul Women`s University, 2023-0008, Chang-Seuk Lee, National Research Foundation of Korea, 2020R1A2C1014918, Tae Hyun Kim, 2021R1A6A1A03039503, Tae Hyun Kim, 2022R1A6C101B794, Tae Hyun Kim.

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Oh, D.E., Kim, J.S., Hwang, I.K. et al. Real-Time Detection of SARS-CoV-2 Nucleocapsid Antigen Using Data Analysis Software and IoT-Based Portable Reader with Single-Walled Carbon Nanotube Field Effect Transistor. BioChip J 17, 393–401 (2023). https://doi.org/10.1007/s13206-023-00116-0

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