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Micromachines 2017, 8(2), 47;

Fabrication of Graphene Aerogels with Heavily Loaded Metallic Nanoparticles

NanoScience Technology Center, University of Central Florida, Orlando, FL 32826, USA
Department of Materials Science and Engineering, University of Central Florida, Orlando, FL 32826, USA
Department of Chemistry, University of Central Florida, Orlando, FL 32826, USA
Author to whom correspondence should be addressed.
Academic Editor: Hongrui Jiang
Received: 29 November 2016 / Revised: 24 January 2017 / Accepted: 3 February 2017 / Published: 7 February 2017
(This article belongs to the Special Issue Bio-Inspired Micro/Nano Devices and Systems)
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Natural biomaterials with hierarchical structures that enable extraordinary capability of detecting chemicals have inspired the interest in producing materials that can mimic these natural structures. This study reports the fabrication of hierarchically-structured, reduced graphene oxide (rGO) aerogels with heavily loaded palladium (Pd), platinum (Pt), nickel (Ni), and tin (Sn) metallic nanoparticles. Metal salts chelated with ethylenediaminetetraacetic acid (EDTA) were mixed with graphene oxide (GO) and then freeze-dried. The subsequent reduction produces rGO/metal nanoparticle aerogels. SEM and EDS results indicated that a loading of 59, 67, 39, and 46 wt % of Pd, Pt, Ni, and Sn nanoparticles was achieved. Pd/rGO aerogels of different Pd nanoparticle concentrations were exposed to H2 gas to monitor the resistance change of the composites. The results suggest that rGO aerogels can achieve a higher nanoparticle loading by using chelation to minimize electrostatic interactions between metal ions and GO. Higher loading of Pd nanoparticles in graphene aerogels lead to improved hydrogen gas sensing performance. View Full-Text
Keywords: graphene; aerogels; metal nanoparticles; hydrogen sensors graphene; aerogels; metal nanoparticles; hydrogen sensors

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Shen, C.; Barrios, E.; McInnis, M.; Zuyus, J.; Zhai, L. Fabrication of Graphene Aerogels with Heavily Loaded Metallic Nanoparticles. Micromachines 2017, 8, 47.

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