PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 10, 2025Nanoscale15 citationsOpen Access

Shape and size-dependent surface plasmonic resonances of liquid metal alloy (EGaIn) nanoparticles

View Full Paper
SJSina JamalzadeganMZMohammad Reza ZareMDM. J. DICKENS

Key Points

  • Localized surface plasmon resonance properties of EGaIn nanoparticles depend on their shapes and sizes.
  • Simulations showed higher order resonances, including polar and quadrupolar modes, across the UV-visible-NIR spectrum.
  • Unique plasmonic features of liquid metal nanoparticles offer applications in biosensing and nanoelectronics.
  • The study expands understanding of optical properties in EGaIn nanostructures, providing insights for new technology applications.

Abstract

Liquid metals (LM) are emerging plasmonic nanomaterials with transformable surface plasmon resonances (SPR) due to their liquid-like deformability. This study delves into the plasmonic properties of LM nanoparticles, with a focus on EGaIn (eutectic gallium-indium)-based materials. Leveraging Finite-Difference Time-Domain (FDTD) simulations, we explored the localized SPR (LSPR) effects of EGaIn nanoparticles with various shapes, including nanospheres, dimers, nanorods, nanodisks, nanoellipses, nanocubes, and nanocuboids, in the broad range of the ultraviolet (UV)-visible-near infrared (NIR) spectrum. While EGaIn is conventionally known as a UV-active metal alloy, this study reveals unique LSPR features (e.g., higher order resonances, polar and quadrupolar modes) of EGaIn nanostructures in the broader visible and NIR wavelength ranges, providing a comprehensive map of LSPR properties for different shapes of EGaIn nanoparticles. These findings offer new insights into the dependence of the optical properties of EGaIn nanoparticles on their geometries for diverse applications, ranging from biosensing, nanoelectronics, to optomechanical systems.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Jamalzadegan et al. (2025) studied this question.

synapsesocial.com/papers/68c1a5ff54b1d3bfb60e029ahttps://doi.org/10.1039/d5nr02502h
Ask AI
Helpful
Bookmark
Share
View Full Paper