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Large-Scale Functionalized Metasurface-Based SARS-CoV-2 Detection and Quantification.

Rajib Ahmed1, Carlos F Guimarães1,2,3, Jie Wang1

  • 1Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Stanford University, Palo Alto, California 94304, United States.

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|September 20, 2022
PubMed
Summary
This summary is machine-generated.

This study presents a cost-effective plasmonic metasurface biosensor for rapid, real-time detection of pathogens like SARS-CoV-2. The novel platform offers high sensitivity and specificity, suitable for resource-limited settings.

Keywords:
Fano resonanceSARS-CoV-2large-scale metasurfacemicrofluidicspoint-of-care detectionsurface plasmon resonance

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Area of Science:

  • Nanotechnology
  • Plasmonics
  • Biosensing

Background:

  • Plasmonic metasurfaces enable nanoscale light manipulation for applications like biosensing.
  • Current Fano resonant metasurface fabrication for biosensors is expensive, requires clean rooms, and has limited surface areas.
  • Existing methods pose challenges for accurate sample placement and large-scale application.

Purpose of the Study:

  • To develop a cost-effective, large-scale plasmonic metasurface biosensor for tunable optical Fano resonance.
  • To enable real-time molecular detection for multiple targets, including viruses.
  • To provide a practical solution for pathogen detection in resource-limited environments.

Main Methods:

  • Leveraged optical disc-based metasurfaces for large-scale, uniform surface patterns.
  • Engineered plasmonic metasurfaces for biosensing using layer-by-layer surface functionalization.
  • Interfaced metasurfaces with microfluidic channels for tunable Fano resonance and target detection.

Main Results:

  • Demonstrated tunable optical Fano resonance in the visible wavelength range.
  • Achieved real-time measurement of molecular binding with high sensitivity and specificity.
  • Successfully detected antibodies, proteins, and whole SARS-CoV-2 viral particles, distinguishing them from influenza and MERS.

Conclusions:

  • The developed plasmonic metasurface platform is cost-effective and suitable for large-scale biosensing.
  • This technology enables fast, real-time detection of SARS-CoV-2 and other pathogens.
  • The platform holds significant potential for pathogen detection in resource-limited settings.