Affiliations 

  • 1 Department of Physics, College of Sciences, Yasouj University, Yasouj, 75918, Iran
  • 2 Smart Photonics Research Laboratory, Sunway University, 47500, Sunway, Selangor, Malaysia. [email protected]
  • 3 Department of Physics, College of Sciences, Yasouj University, Yasouj, 75918, Iran. [email protected]
  • 4 Department of Physics, Persian Gulf University, Bushehr, 75196, Iran
  • 5 Institute of Engineering Mathematics, Universiti Malaysia Perlis, 02600, Arau, Perlis, Malaysia
  • 6 Department of Physics, Cross River University of Technology, Calabar, Nigeria
Sci Rep, 2023 Jul 13;13(1):11325.
PMID: 37443203 DOI: 10.1038/s41598-023-38475-1

Abstract

A proposed nanosensor based on hybrid nanoshells consisting of a core of metal nanoparticles and a coating of molecules is simulated by plasmon-exciton coupling in semi classical approach. We study the interaction of electromagnetic radiation with multilevel atoms in a way that takes into account both the spatial and the temporal dependence of the local fields. Our approach has a wide range of applications, from the description of pulse propagation in two-level media to the elaborate simulation of optoelectronic devices, including sensors. We have numerically solved the corresponding system of coupled Maxwell-Liouville equations using finite difference time domain (FDTD) method for different geometries. Plasmon-exciton hybrid nanoshells with different geometries are designed and simulated, which shows more sensitive to environment refractive index (RI) than nanosensor based on localized surface plasmon. The effects of nanoshell geometries, sizes, and quantum emitter parameters on the sensitivity of nanosensors to changes in the RI of the environment were investigated. It was found that the cone-like nanoshell with a silver core and quantum emitter shell had the highest sensitivity. The tapered shape of the cone like nanoshell leads to a higher density of plasmonic excitations at the tapered end of the nanoshell. Under specific conditions, two sharp, deep LSPR peaks were evident in the scattering data. These distinguishing features are valuable as signatures in nanosensors requiring fast, noninvasive response.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.