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Finite Element Models of Gold Nanoparticles and Their Suspensions for Photothermal Effect Calculation
José Manuel Terrés-Haro1,2,3, Javier Monreal-Trigo1,2,3,4, Andy Hernández-Montoto1,4,5,6
1Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Bioengineering (Basel, Switzerland)
|February 25, 2023
Summary
This study models metal nanoparticles for photothermal treatments. Finite element analysis accurately predicted temperature increases in nanoparticle suspensions upon laser irradiation, aligning with experimental data.
Area of Science:
- Nanotechnology
- Biomedical Engineering
- Computational Physics
Background:
- Metal nanoparticles offer localized drug delivery and photothermal treatment capabilities.
- Plasmonics enables prediction of nanoparticle electromagnetic interactions and photothermal outcomes.
- Modeling nanoparticle geometry is crucial for understanding their behavior in electromagnetic fields.
Purpose of the Study:
- To model nanoparticle geometry within a Finite Element Model (FEM) environment.
- To calculate the effects of nanoparticles in optical, electromagnetic fields.
- To model experimental procedures for measuring temperature rise during nanoparticle irradiation.
Main Methods:
- Utilized Finite Element Method (FEM) numerical models with COMSOL for geometry and mesh generation.
- Employed iterative solving of discretized Maxwell's equations.
- Simulated nanoparticle absorption, scattering, and electric field enhancement.
Main Results:
- Obtained absorption and scattering cross-section spectrums for NanoRods and NanoStars with varying geometries.
- Calculated electric field enhancement around nanoparticles.
- Generated temperature curves from simulations and experimental measurements of nanoparticle suspensions.
Conclusions:
- FEM modeling accurately predicts nanoparticle optical properties and electromagnetic field interactions.
- Simulated temperature rises correlate well with experimental measurements.
- The study validates the use of computational modeling for photothermal treatment optimization.
