Analysis and Optimization of Light Absorption and Scattering Properties of Metal Nanocages.
finite-element method
light absorption
light scattering
localized surface plasmon resonance
metal nanocages
Journal
Nanomaterials (Basel, Switzerland)
ISSN: 2079-4991
Titre abrégé: Nanomaterials (Basel)
Pays: Switzerland
ID NLM: 101610216
Informations de publication
Date de publication:
04 Oct 2024
04 Oct 2024
Historique:
received:
11
09
2024
revised:
01
10
2024
accepted:
02
10
2024
medline:
15
10
2024
pubmed:
15
10
2024
entrez:
15
10
2024
Statut:
epublish
Résumé
Metal nanocages exhibit localized surface plasmon resonance that strongly absorbs and scatters light at specific wavelengths, making them potentially valuable for photothermal therapy and biological imaging applications. However, investigations on metal nanocages are still confined to high-cost and small-scale synthesis. The comprehensive analysis of optical properties and optimal size parameters of metal nanocages is rarely reported. This paper simulates the effects of materials (Ag, Au, and Cu), size parameters, refractive index of the surrounding medium, and orientation on the light absorption and scattering characteristics of the nanocages using the finite-element method and the size-dependent refractive-index model for metal nanoparticles. The results show that the Ag nanocages have excellent light absorption and scattering characteristics and respond significantly to the size parameters, while the refractive index and orientation of the surrounding medium have less effect on them. The Au nanocages also possess superior light absorption properties at specific incident wavelengths. This study also identified the optimized sizes of three metal nanocages at incident light wavelengths commonly used in biomedicine; it was also found that, under deep therapy conditions, Ag nanocages in particular exhibit the highest volume absorption and scattering coefficients of 0.708 nm
Identifiants
pubmed: 39404330
pii: nano14191603
doi: 10.3390/nano14191603
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Outstanding Young Talent Program of Xinjiang Normal University
ID : XJNUQB2022-18
Organisme : Natural Science Foundation of Xinjiang Uygur Autonomous Region
ID : 2021D01A116
Organisme : National Natural Science Foundation of China
ID : 11764042