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Reagentless Quantum-Rate-Based Electrochemical Signal of Graphene for Detecting SARS-CoV-2 Infection Using Nasal Swab
Beatriz Lucas Garrote1, Laís C Lopes1, Edgar F Pinzón1
1Department of Engineering, Physics and Mathematics, Institute of Chemistry, São Paulo State University, São Paulo 14800-060, Brazil.
A novel quantum-rate biosensor detects COVID-19 using graphene and biological receptors. This label-free method offers attomole sensitivity for rapid diagnostics, aiding pandemic surveillance.
Area of Science:
- * Physics-based biosensing utilizing quantum mechanics principles.
- * Development of advanced electrochemical biosensor platforms.
Background:
- * The quantum-rate model describes electron transport frequency (k) based on quantum conductance (G) and quantum capacitance (Cq).
- * Graphene-based biosensors offer high sensitivity for detecting biomarkers.
- * Existing diagnostic methods for infectious diseases require improvement in speed and accessibility.
Purpose of the Study:
- * To apply the quantum-rate model as a label-free, reagentless biosensing transducer for COVID-19 diagnosis.
- * To evaluate the performance of this novel biosensor against the gold-standard real-time polymerase chain reaction (PCR).
- * To explore the potential of this technology for point-of-care and internet-of-things (IoT) applications.
Main Methods:
- * Utilized single-layer graphene modified with biological receptors.
- * Measured electron transport frequency (k = G/Cq) as a biosensing signal.
- * Detected SARS-CoV-2 spike (S) and nucleocapsid (N) proteins from patient samples.
Main Results:
- * The quantum-rate biosensor demonstrated attomole sensitivity.
- * Qualitative diagnosis of COVID-19 showed 80% sensitivity and 77% specificity.
- * Assay results were comparable to real-time PCR.
Conclusions:
- * The quantum-rate biosensor is a viable label-free and reagentless platform for COVID-19 detection.
- * The technology is suitable for miniaturization and real-time applications, enabling point-of-care diagnostics.
- * This approach facilitates rapid development of assays for endemic and pandemic disease surveillance.
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