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Updated: Jun 5, 2025

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Detection of SARS-CoV-2 Receptor-Binding Domain Antibody using a HiBiT-Based Bioreporter
Published on: August 12, 2021
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Design of immunoassay based biosensor platforms for SARS-CoV-2 detection using highly specific monoclonal antibodies
Göknur Gizem Dinç1, Ebru Saatçi2, İlkay Göksu Polat3
1TÜBİTAK Marmara Research Center, 41470, Gebze, Kocaeli, Türkiye; Gebze Technical University, Department of Molecular Biology and Genetics, 41400, Gebze, Kocaeli, Türkiye.
Diagnostic Microbiology and Infectious Disease
|December 8, 2024
Summary
This study developed monoclonal antibodies for rapid SARS-CoV-2 detection. The resulting lateral flow immunoassay and amperometric biosensor offer sensitive diagnostic tools for pandemic control.
Area of Science:
- Biotechnology
- Immunology
- Biosensor technology
Background:
- The global SARS-CoV-2 pandemic necessitates rapid and accurate diagnostic methods.
- Effective control of viral spread relies on early detection and identification.
Purpose of the Study:
- To develop specific monoclonal antibodies against the conserved nucleocapsid protein of SARS-CoV-2.
- To establish sensitive detection platforms, including a lateral flow immunoassay (LFIA) and an amperometric biosensor, for SARS-CoV-2.
Main Methods:
- Development of high-affinity monoclonal antibodies against the SARS-CoV-2 nucleocapsid protein.
- Selection of optimal antibody pairs for assay development.
- Implementation of a lateral flow immunoassay (LFIA).
- Application of an amperometric biosensor utilizing unmodified screen-printed electrodes and magnetic bead preparation.
Main Results:
- The developed LFIA demonstrated detection of SARS-CoV-2 at 10^4 PFU/mL.
- The amperometric biosensor achieved a sensitive limit of detection (LOD) of 5.5 PFU/mL for inactivated SARS-CoV-2.
- Validated antibody pairs enable sensitive and selective detection.
Conclusions:
- The generated monoclonal antibodies are suitable for sensitive and selective SARS-CoV-2 detection.
- The developed LFIA and amperometric immunosensor platforms show promise for clinical diagnosis and pandemic surveillance.

