English Title
Localized Surface Plasmon Resonance Nanoparticle Sensing
Keywords
localized surface plasmon resonance, nano-spheres, nano-rods, sensitivity, detection accuracy, extinction cross section, simulation
Disciplines
Biomedical | Electromagnetics and Photonics | Engineering | Nanoscience and Nanotechnology | Signal Processing
Abstract
Localized Surface Plasmon Resonance (LSPR) waves generated by the interaction of light with noble metal nanoparticles has been of great interest in recent years due to the high sensitivity of the extinction spectra of these nanoparticles to the medium's surrounding refractive index up to the atomic level.
In this article, we simulate the extinction spectra of noble metal sphere and rod nanoparticles in order to study the effect of the geometrical shape and size of the nanoparticle on the sensitivity and detection accuracy performance parameters of the extinction spectra. We also simulated the response of the sphere and rod nanoparticle's extinction spectra to variation in the refractive index of the surrounding medium quantifying this response into performance parameter measurements. For the same medium refractive index, our findings suggest that the range of operation of the nanoparticle differs due to a change in its size and shape. Our findings also suggest that nano-rod based sensors offer substantially higher performance parameters compared to nano-sphere based sensors estimated by a 237.035% increase of sensitivity and 5.307% increase of detection accuracy when the medium refractive index increases by 80% from the reference value.
Recommended Citation
Moussilli, Mariam M. M. M. Moussilli and El Falou, Abdul Rahman
(2021)
"COMPARATIVE STUDY OF NANO-ROD AND NANO-SPHERE BASED LOCALIZED SURFACE PLASMON RESONANCE REFRACTIVE INDEX BIOSENSORS,"
BAU Journal - Science and Technology: Vol. 2:
Iss.
2, Article 4.
DOI: https://doi.org/10.54729/2959-331X.1033
ISSN
2959-331X
Included in
Biomedical Commons, Electromagnetics and Photonics Commons, Nanoscience and Nanotechnology Commons, Signal Processing Commons