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Label-Free LSPR-Vertical Microcavity Biosensor for On-Site SARS-CoV-2 Detection
Yuqiao Zheng1, Sumin Bian1, Jiacheng Sun2
1CenBRAIN Lab, School of Engineering, Westlake University, Hangzhou 310024, China.
Biosensors
|March 24, 2022
Summary
A novel hybrid biosensor detects SARS-CoV-2 (the virus that causes COVID-19) rapidly and sensitively. This technology shows promise for high-throughput, on-site coronavirus screening in artificial saliva.
Area of Science:
- Nanotechnology
- Biosensing
- Plasmonics
Background:
- Effective control of the COVID-19 pandemic requires cost-effective, rapid, and sensitive high-throughput SARS-CoV-2 detection.
- Existing methods face challenges in speed, cost, and sensitivity for widespread application.
Purpose of the Study:
- To develop and assess a vertical microcavity and localized surface plasmon resonance (LSPR) hybrid biosensor for SARS-CoV-2 detection.
- To optimize the biosensor design using modeling and simulation for enhanced performance.
Main Methods:
- Fabrication of a hybrid biosensor integrating a vertical microcavity with nanoporous gold (NPG) structures.
- Immobilization of SARS-CoV-2 antibodies onto the NPG surface for virus capture.
- Utilizing reflectance spectrum valley shifts to detect changes in refractive index caused by virus binding.
- Optimization of microcavity and NPG parameters through modeling and simulation.
Main Results:
- NPG-deposited sensors demonstrated superior resonance quality and sensitivity compared to gold-deposited and pure microcavity sensors.
- Experimental validation confirmed the impact of NPG surface morphology on biosensor sensitivity.
- A 40% porosity NPG structure achieved the highest sensitivity, detecting SARS-CoV-2 pseudovirus at 319 copies/mL in artificial saliva.
- The automated system processed 100 samples within 30 minutes.
Conclusions:
- The proposed hybrid biosensor offers a sensitive and rapid method for SARS-CoV-2 detection.
- The system demonstrates significant potential for on-site, high-throughput coronavirus screening.
- Further development could facilitate real-time epidemic monitoring and control.

