Issue 44, 2022

Three-dimensional plasmonic nanoclusters driven by co-assembly of thermo-plasmonic nanoparticles and colloidal quantum dots

Abstract

Metallic nanoparticles that support localized surface plasmons have emerged as fundamental iconic building blocks for nanoscale photonics. Self-assembled clustering of plasmonic nanoparticles with controlled near-field interactions offers an interesting novel route to manipulate the electromagnetic fields at a subwavelength scale. Various bottom-up, self-assembly manners have been successfully devised to build plasmonic nanoparticle clusters displaying attractive optical properties. However, the incapability to configure on-demand architectures limits its practical reliability uses for scalable nanophotonic devices. Furthermore, a critical challenge has been addressing the accurate positioning of functional nanoparticles, including catalytic nanoparticles, dielectric nanoparticles, and quantum dots (QDs) in the clustered plasmonic hotspots. This work proposes a micropipette-based self-assembly method to fabricate three-dimensional architectures composed of colloidal clusters. The heterogeneous colloidal clusters comprising metallic nanoparticles and QDs are fabricated in one step by the micropipette-based self-assembly method. A plasmonic clustered pillar embedding QDs exhibited excellent photoluminescence characteristics compared to a collapsed pillar. The experimental and theoretical demonstration of the localized surface plasmon resonance and thermo-plasmonic properties of the colloidal clusters was performed.

Graphical abstract: Three-dimensional plasmonic nanoclusters driven by co-assembly of thermo-plasmonic nanoparticles and colloidal quantum dots

Supplementary files

Article information

Article type
Paper
Submitted
08 Jul 2022
Accepted
30 Sep 2022
First published
03 Oct 2022

Nanoscale, 2022,14, 16450-16457

Three-dimensional plasmonic nanoclusters driven by co-assembly of thermo-plasmonic nanoparticles and colloidal quantum dots

W. Kim, V. Devaraj, Y. Yang, J. Lee, J. T. Kim, J. Oh and J. Rho, Nanoscale, 2022, 14, 16450 DOI: 10.1039/D2NR03737H

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