4.8 Article

Addressing Challenges and Scalability in the Synthesis of Thin Uniform Metal Shells on Large Metal Nanoparticle Cores: Case Study of Ag-Pt Core-Shell Nanocubes

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 9, Issue 49, Pages 43127-43132

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.7b14474

Keywords

core-shell; silver; platinum; scalable synthesis; ultrathin coating; ligand exchange

Funding

  1. U.S. Department of Energy, Office of Basic Energy Science, Division of Chemical Sciences [FG-02-05ER15686]
  2. National Science Foundation (NSF) [CBET-1702471, CBET-1437601]
  3. NSF [CBET-1436056, DMR-0723032, CHE-1362120]
  4. Institute for Advanced Study at Technische Universitat Munchen - German Excellence Initiative
  5. European Union Seventh Framework Programme [291763]
  6. Directorate For Engineering [1437601, 1436056] Funding Source: National Science Foundation
  7. Div Of Chem, Bioeng, Env, & Transp Sys [1437601, 1436056] Funding Source: National Science Foundation

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Bimetallic nanoparticles in which a metal is coated with an ultrathin (similar to 1 nm) layer of a second metal are often desired for their unique chemical and physical properties. Current synthesis methods for producing such core-shell nanostructures often require incremental addition of a shell metal precursor which is rapidly reduced Onto metal cores. A major shortcoming of this approach is that it necessitates precise concentrations of chemical reagents, making it difficult to perform at large scales. To address this issue, we considered an approach whereby the reduction of the shell metal precursor was controlled through in situ chemical modification of the precursor. We used this approach to develop a highly scalable synthesis for coating atomic layers of Pt onto Ag nanocubes. We show that Ag-Pt core-shell nanostructures are synthesized in high yields and that these structures effectively combine the optical properties. of the plasmonic Ag nanocube core with the surface properties of the thin Pt shell. Additionally, we demonstrate the scalability of the synthesis by performing a 10 times scale-up.

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