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Scalable Synthesis of Ag Networks with Optimized Sub-monolayer Au-Pd Nanoparticle Covering for Highly Enhanced SERS Detection and Catalysis
Author(s) -
Tianyu Li,
Sascha Vongehr,
Shaolong Tang,
Yuming Dai,
Xiao Huang,
Xiangkang Meng
Publication year - 2016
Publication title -
scientific reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 213
ISSN - 2045-2322
DOI - 10.1038/srep37092
Subject(s) - bimetallic strip , monolayer , catalysis , materials science , nanoparticle , metal , chemical engineering , nanotechnology , nanopore , surface roughness , chemistry , composite material , metallurgy , organic chemistry , engineering
Highly porous tri-metallic Ag x Au y Pd z networks with a sub-monolayer bimetallic Au-Pd nanoparticle coating were synthesized via a designed galvanic replacement reaction of Ag nanosponges suspended in mixed solutions of HAuCl 4 and K 2 PdCl 4 . The resulting networks’ ligaments have a rough surface with bimetallic nanoparticles and nanopores due to removal of Ag. The surface morphology and composition are adjustable by the temperature and mixed solutions’ concentration. Very low combined Au and Pd atomic percentage (1− x ) where x is atomic percentage of Ag leads to sub-monolayer nanoparticle coverings allowing a large number of active boundaries, nanopores, and metal-metal interfaces to be accessible. Optimization of the Au/Pd atomic ratio y / z obtains large surface-enhanced Raman scattering detection sensitivity (at y /z = 5.06) and a higher catalytic activity (at y / z  = 3.55) toward reduction reactions as benchmarked with 4-nitrophenol than for most bimetallic catalysts. Subsequent optimization of x (at fixed y / z ) further increases the catalytic activity to obtain a superior tri-metallic catalyst, which is mainly attributed to the synergy of several aspects including the large porosity, increased surface roughness, accessible interfaces, and hydrogen absorption capacity of nanosized Pd. This work provides a new concept for scalable synthesis and performance optimization of tri-metallic nanostructures.

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