“Quartz crystal microbalance-based biosensor for rapid and ultrasensitive SARS-CoV-2 detection"

The COVID-19 pandemic highlighted the urgent need for rapid, sensitive, and affordable diagnostic tests, especially in resource-limited settings. While RT-qPCR remains the gold standard for SARS-CoV-2 detection, it is expensive and requires specialized equipment. Antigen-based tests, though faster, lack sufficient sensitivity. Therefore, there is a pressing need for a platform that combines the rapidity of antigen tests with the sensitivity of molecular tests. In this work, we address this problem by developing a Quartz Crystal Microbalance (QCM) biosensor for the rapid detection of SARS-CoV-2 nucleocapsid proteins. We designed a QCM biosensor with polyethylene glycol (PEG)-based surface functionalization, which significantly improves sensitivity and specificity. The platform achieved a detection limit of 53.3 TCID 50 /mL and a sensitivity of 0.263 Hz/ TCID 50 /mL, with results available in approximately 15 min. Cross-reactivity tests with Influenza A demonstrated its high specificity for SARS-CoV-2. Comprehensive surface characterization using Scanning Electron Microscopy (SEM), Digital Holographic Microscopy, and Raman Spectroscopy confirmed the stability and integrity of the functionalized sensor surface. The platform is cost-effective, scalable, and designed for ease of use in resource-limited settings. This work presents the first open-source QCM biosensing platform for SARS-CoV-2 detection that combines high sensitivity, rapid results, and affordability. It offers a deployable solution for COVID-19 diagnostics, particularly in underserved regions, and is adaptable for future pandemic preparedness.

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Publication Details

Journal
Journal of Pharmaceutical and Biomedical Analysis Open
Published
2025-03-07
DOI
https://doi.org/10.1016/j.jpbao.2025.100071
Citations
5
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
3.37
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article

“Quartz crystal microbalance-based biosensor for rapid and ultrasensitive SARS-CoV-2 detection"

Sahera Saleh, Hassan Zaraket, Pierre Karam, M. Kazan et al.
5 citations
Journal of Pharmaceutical and Biomedical Analysis Open
Biosensors and Analytical Detection
3.37
article

“Quartz crystal microbalance-based biosensor for rapid and ultrasensitive SARS-CoV-2 detection"

Sahera Saleh, Hassan Zaraket, Pierre Karam, M. Kazan, Jit Muthuswamy, Massoud L. Khraiche, Habib Alkalamouni, Karen Antar, Joe Rahme
article en
5 citations

Abstract

The COVID-19 pandemic highlighted the urgent need for rapid, sensitive, and affordable diagnostic tests, especially in resource-limited settings. While RT-qPCR remains the gold standard for SARS-CoV-2 detection, it is expensive and requires specialized equipment. Antigen-based tests, though faster, lack sufficient sensitivity. Therefore, there is a pressing need for a platform that combines the rapidity of antigen tests with the sensitivity of molecular tests. In this work, we address this problem by developing a Quartz Crystal Microbalance (QCM) biosensor for the rapid detection of SARS-CoV-2 nucleocapsid proteins. We designed a QCM biosensor with polyethylene glycol (PEG)-based surface functionalization, which significantly improves sensitivity and specificity. The platform achieved a detection limit of 53.3 TCID 50 /mL and a sensitivity of 0.263 Hz/ TCID 50 /mL, with results available in approximately 15 min. Cross-reactivity tests with Influenza A demonstrated its high specificity for SARS-CoV-2. Comprehensive surface characterization using Scanning Electron Microscopy (SEM), Digital Holographic Microscopy, and Raman Spectroscopy confirmed the stability and integrity of the functionalized sensor surface. The platform is cost-effective, scalable, and designed for ease of use in resource-limited settings. This work presents the first open-source QCM biosensing platform for SARS-CoV-2 detection that combines high sensitivity, rapid results, and affordability. It offers a deployable solution for COVID-19 diagnostics, particularly in underserved regions, and is adaptable for future pandemic preparedness.

Journal of Pharmaceutical and Biomedical Analysis OpenVol. 5
Arizona State University (US), American University of Beirut (LB)
Openalex Percentile: Top 9%
Biosensors and Analytical Detection
3.37
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