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Plasmonic Trapping and Release of Nanoparticles in a Monitoring Environment

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Plasmonic Biosensing with Nano-Engineered Van der Waals Interfaces.

Li Jiang^1,2,3, Kien Voon Kong⁴, Sailing He²

¹School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore, Singapore.

|November 3, 2022

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This summary is machine-generated.

This study enhances Goos-Hänchen shift detection using van der Waals materials on plasmonic surfaces. This boosts sensitivity for detecting analytes like proteins and biotin with unprecedented limits.

Area of Science:

Optics and Photonics
Materials Science
Nanotechnology

Background:

The Goos-Hänchen (GH) shift offers a method for detecting phase variations without direct phase measurements.
Enhancing the sensitivity of GH shift detection is crucial for high-precision sensing applications.

Purpose of the Study:

To investigate the use of few-monolayer van der Waals (vdW) structures (WS₂, MoSe₂, graphene) on plasmonic surfaces for enhanced GH shift sensing.
To demonstrate a significant increase in phase variation sensitivity to analyte presence.

Main Methods:

Fabrication of multilayer structures combining vdW materials (WS₂, MoSe₂, graphene) with a plasmonic gold (Au) surface.
Utilizing the Goos-Hänchen shift phenomenon to measure changes in light beam displacement due to analyte binding.

Keywords:

2D materials Goos-Hähnchen shift biosensing surface plasmon resonance

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Characterization of the enhanced GH shift in response to varying analyte concentrations.

Main Results:

Achieved over a 3-order of magnitude increase in GH shift sensitivity using WS₂/graphene/Au multilayer structures.
Reported a GH shift enhancement of approximately 886 mm/RIU (refractive index unit).
Demonstrated ultra-low detection limits: 0.1 aM for bovine serum albumin (BSA) and 1 fM for biotin.

Conclusions:

Few-layer vdW materials integrated onto plasmonic surfaces significantly enhance GH shift sensitivity.
The developed sensing platform offers a highly sensitive and label-free method for biomolecular detection.
This approach paves the way for advanced optical sensors with improved detection capabilities.