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Updated: Jun 20, 2026

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons
Published on: July 21, 2018
Detailed Modeling of Surface-Plasmon Resonance Spectrometer Response for Accurate Correction
Ricardo David Araguillin-López1,2, Angel Dickerson Méndez-Cevallos2, César Costa-Vera2
1Departamento de Automatización y Control Industrial, Escuela Politécnica Nacional, Quito 170525, Ecuador.
This study models surface-plasmon resonance spectroscopy (SPR) devices to accurately predict experimental results. The developed transfer function model enhances SPR analysis for nanoscale analytes and molecular solutions.
Area of Science:
- Spectroscopy
- Nanotechnology
- Physical Chemistry
Background:
- Surface-plasmon resonance (SPR) spectroscopy is crucial for analyzing molecular interactions at the nanoscale.
- Accurate modeling of SPR systems is essential for reliable experimental data interpretation.
Purpose of the Study:
- To develop a comprehensive transfer function model for an experimental SPR spectroscopy setup.
- To enable precise comparison between theoretical predictions and experimental outcomes.
- To facilitate the analysis of analyte dynamics at the nanometer scale.
Main Methods:
- Experimental and theoretical determination of transfer functions for individual SPR system components (light source, polarizers, spectrometer, optical fibers, SPR sensor).
- Modeling of the SPR sensor using characteristic matrix theory with optical constants of prism, gold film, chromium layer, and analyte.
- Integration of component transfer functions into a complete system model.
Main Results:
- A comprehensive system model was created by combining individual component transfer functions.
- The model successfully reproduced experimental SPR spectra with over 95% similarity.
- The model's accuracy allows for precise correction of measured spectra.
Conclusions:
- The developed transfer function model accurately represents the experimental SPR spectroscopy setup.
- This validated model is vital for accurate spectral correction and advanced analysis of nanosuspensions and dissolved molecules.
- The system's operational range was effectively extended by understanding signal-to-noise constraints.
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