Faisal Ahmed Assaig, Teddy Surya Gunawan, Anis Nurashikin Nordin, Rosminazuin Ab. Rahim, Zainiharyati Mohd Zain, Rozainanee Mohd Zain, Fatchul Arifin
The COVID-19 pandemic has necessitated the development of rapid and trustworthy diagnostic tools. Reverse transcription-polymerase chain reaction (RT-PCR) is the gold standard for detecting SARS-CoV-2 but has cost and time constraints. The sensitivity, specificity, and low cost of electrochemical biosensors make them an attractive alternative for virus detection. This study aims to develop and evaluate a high-performance desktop application for an electrochemical potentiostat-based SARS-CoV-2 test device, with a user-friendly interface that automatically interprets results, to expedite the testing process and improve accessibility, particularly in resource-limited settings. The application was built with the Electron framework and the HTML, CSS, and JavaScript programming languages. Our findings indicate that the developed electrochemical potentiostat-based desktop application demonstrates high accuracy compared to commercial software, achieving rapid detection within 30 seconds. The graphical user interface was found to be straightforward and user-friendly, requiring minimal training for efficient system operation. Our electrochemical potentiostat-based desktop application represents a valuable tool for rapid SARS-CoV-2 testing, particularly in settings with limited resources. This research contributes to developing rapid and reliable diagnostic tools for SARS-CoV-2 and potentially other pandemic-causing viruses, addressing the pressing need for improved public health surveillance and response strategies. © 2023 Institute of Advanced Engineering and Science. All rights reserved.
Electrical and Computer Engineering Department, International Islamic University Malaysia, Kuala Lumpur, Malaysia; School of Electrical Engineering, Telkom University, Bandung, 40257, Indonesia; MEMS-VLSI Research Unit, ECE Department, International Islamic University Malaysia, Kuala Lumpur, Malaysia; Electrochemical Material and Sensor (EMaS) Research Group, Faculty of Applied Sciences, University Teknologi MARA, Selangor, Shah Alam, 40450, Malaysia; Institute for Medical Research (IMR), National Institute of Health (NIH), Selangor, Shah Alam, 40170, Malaysia; Department of Electronic and Informatics Engineering, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia
