4.8 Article

Convective Self-Assembly of 2D Nonclose-Packed Binary Au Nanoparticle Arrays with Tunable Optical Properties

Journal

CHEMISTRY OF MATERIALS
Volume 33, Issue 1, Pages 310-319

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.chemmater.0c03799

Keywords

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Funding

  1. National Science Fund for Distinguished Young Scholars [51825103]
  2. Natural Science Foundation of China [51601191, 51771188]
  3. National Key Research and Development Program of China [2017YFA0207101]

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By modulating the convective self-assembly of colloidal nanoparticles on a templating NCP nanoparticle array, two-dimensional NCP binary Au nanoparticle arrays with tunable optical properties were constructed. The assembled arrays showed potential for applications in anti-counterfeiting measures.
The controllable assembly of nanoparticles into nonclose-packed (NCP) arrays exhibits unusual optical properties [e.g., surface lattice resonances (SLRs)] but are challenging to construct, especially for NCP binary arrays composed of diversified nanoparticles. Here, we show the construction of two-dimensional (2D) NCP binary Au nanoparticle arrays by modulating the convective self-assembly of colloidal nanoparticles on a templating NCP nanoparticle array. By dramatically inhibiting the coffee ring effect during convective evaporation, this convective assembly approach allows colloidal nanoparticles to stack around the templating nanoparticles, forming a core-satellite basic architecture. Moreover, this approach is generalized for various types, shapes, and periodicities of building nanoparticles. The assembled 2D NCP binary Au arrays attain multiple tunable optical properties, including photonic band gaps, plasmonic SLRs, and dynamic surface-enhanced Raman scattering activity, based on tunable plasmonic coupling. The anticounterfeiting application of these NCP binary arrays is demonstrated by taking advantage of their unique optical properties. This convective assembly approach can pave the way for the development of a new category of NCP binary arrays and help to explore their collective unconventional properties.

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