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An impedimetric approach for COVID-19 detection
Yudum Tepeli Büyüksünetçi1, Burak Ekrem Çitil2, Ülkü Anık1,3
1Mugla Sitki Kocman University, Faculty of Science, Chemistry Department, Kotekli-Mugla, Turkey. ulkuanik@mu.edu.tr.
The Analyst
|December 3, 2021
Summary
A novel electrochemical biosensor was developed for COVID-19 detection using spike protein interactions with ACE2 and CD147 receptors. This method offers a sensitive and validated approach for identifying severe acute respiratory syndrome coronavirus 2.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Infectious Disease Diagnostics
Background:
- Coronavirus disease (COVID-19) diagnosis relies on accurate and rapid detection methods.
- The spike protein (S-protein) is crucial for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) entry into host cells.
- Receptors like angiotensin-converting enzyme 2 (ACE2) and CD147 mediate viral entry.
Purpose of the Study:
- To develop and optimize an electrochemical biosensor for COVID-19 detection.
- To investigate the analytical performance of the biosensor utilizing ACE2 and CD147 receptors.
- To validate the developed method against established diagnostic techniques.
Main Methods:
- Development of an electrochemical biosensor system.
- Utilizing spike protein (S-protein) interactions with ACE2 and CD147 receptors.
- Optimization of experimental parameters and investigation of analytical characteristics.
- Validation of results using real-time polymerase chain reaction (RT-PCR).
Main Results:
- The biosensor demonstrated distinct linear detection ranges for S-protein with ACE2 (700–1500 ng mL⁻¹ and 1500–7000 ng mL⁻¹) and CD147 (500–5000 ng mL⁻¹).
- Achieved a limit of detection (LOD) of 299.30 ng mL⁻¹ for ACE2 and 38.99 ng mL⁻¹ for CD147.
- The electrochemical method showed comparable results to RT-PCR for SARS-CoV-2 samples.
Conclusions:
- The developed electrochemical biosensor provides a sensitive and reliable method for COVID-19 detection.
- The use of ACE2 and CD147 receptors offers specific targets for SARS-CoV-2 identification.
- This approach holds potential for rapid point-of-care diagnostics.

