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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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Hydroxyapatite-Gold Modified Screen-Printed Carbon Electrode for Selective SARS-CoV-2 Antibody Immunosensor
Ratu Shifa Syafira1, Melania Janisha Devi1, Shabarni Gaffar1
1Department of Chemistry, Faculty of Mathematics and Natural Sciences, Padjadjaran University, Jl. Raya Bandung-Sumedang Km 21, Jatinangor, Sumedang, West Java 45363, Indonesia.
ACS Applied Bio Materials
|February 2, 2024
Summary
A novel electrochemical immunosensor rapidly detects SARS-CoV-2 antibodies. This screen-printed carbon electrode immunosensor utilizes a hydroxyapatite-gold nanocomposite and the RBD Spike protein for high sensitivity and stability in detecting COVID-19 antibodies.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Analytical Chemistry
Background:
- The global spread of SARS-CoV-2 necessitates rapid and accurate diagnostic tools.
- Electrochemical immunosensors offer a promising alternative for swift viral detection.
Purpose of the Study:
- To develop a highly sensitive and stable electrochemical immunosensor for detecting SARS-CoV-2 antibodies.
- To optimize the synthesis of a hydroxyapatite-gold nanocomposite for enhanced electrode performance.
Main Methods:
- Fabrication of a screen-printed carbon electrode immunosensor (SPCE/HA-Au) with immobilized RBD Spike protein.
- Optimization of HA-Au composite synthesis using the Box-Behnken method.
- Characterization via UV-vis, TEM-EDX, XRD, differential pulse voltammetry, and electrochemical impedance spectroscopy.
Main Results:
- The developed immunosensor achieved a low detection limit of 0.0561 pg mL⁻¹ for IgG antibodies.
- Demonstrated excellent selectivity (103-122%) and stability up to 7 weeks.
- Validated with real human serum samples, showing satisfactory agreement with CMIA results.
Conclusions:
- The SPCE/HA-Au based electrochemical immunosensor provides a rapid, accurate, and stable platform for SARS-CoV-2 antibody detection.
- This technology holds potential for effective COVID-19 monitoring and diagnosis.

