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Surface plasmon coupling between wide-field SPR microscopy and gold nanoparticles
Qais M Al-Bataineh1,2,3, Ahmad D Telfah4,5,6, Carlos J Tavares7
1Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., 44139, Dortmund, Germany. qais.albataineh@tu-dortmund.de.
Scientific Reports
|December 16, 2023
Summary
Wide field surface plasmon microscopy (WF-SPRM) reveals how gold nanoparticle (AuNP) size affects signal intensity. Interactions and interference patterns of single and multiple AuNPs were accurately modeled and experimentally verified.
Area of Science:
- Nanophotonics
- Plasmonics
- Optical Microscopy
Background:
- Surface plasmon resonance (SPR) is crucial for sensing and imaging.
- Gold nanoparticles (AuNPs) exhibit unique optical properties due to SPR.
- Wide field surface plasmon microscopy (WF-SPRM) enables visualization of plasmonic phenomena.
Purpose of the Study:
- Investigate the coupling behavior of WF-SPRM with single, two, and multiple gold nanoparticles (AuNPs) of varying sizes.
- Understand the signal intensity dependence on AuNP size and interparticle interactions.
- Validate theoretical models with experimental WF-SPRM data.
Main Methods:
- Theoretical calculations and numerical simulations (finite element method).
- Experimental investigations using WF-SPRM.
- Analysis of Rayleigh scattering theory and discrete particle models for SPR.
- Application of Maxwell-Garnet equations for effective media representation.
Main Results:
- Signal intensity of single AuNPs increases with size (40-80 nm), consistent with Rayleigh scattering.
- A discrete particle model accurately predicts single AuNP intensity profiles.
- Superposition of surface plasmon waves from two AuNPs creates observable interference patterns.
- Plasmonic scattering from multiple AuNPs can be modeled as an effective medium.
Conclusions:
- WF-SPRM effectively characterizes plasmonic coupling in AuNPs.
- Particle size and arrangement significantly influence plasmonic interactions and scattering.
- Theoretical and simulation models provide accurate predictions of experimental observations.
- The effective medium approximation is suitable for describing multi-particle plasmonic systems.

