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Title: Synthesis of Platinum-nickel Nanowires and Optimization for Oxygen Reduction Performance

Platinum-nickel (Pt-Ni) nanowires were developed as fuel cell electrocatalysts, and were optimized for the performance and durability in the oxygen reduction reaction. Spontaneous galvanic displacement was used to deposit Pt layers onto Ni nanowire substrates. The synthesis approach produced catalysts with high specific activities and high Pt surface areas. Hydrogen annealing improved Pt and Ni mixing and specific activity. Acid leaching was used to preferentially remove Ni near the nanowire surface, and oxygen annealing was used to stabilize near-surface Ni, improving durability and minimizing Ni dissolution. These protocols detail the optimization of each post-synthesis processing step, including hydrogen annealing to 250 degrees C, exposure to 0.1 M nitric acid, and oxygen annealing to 175 degrees C. Through these steps, Pt-Ni nanowires produced increased activities more than an order of magnitude than Pt nanoparticles, while offering significant durability improvements. The presented protocols are based on Pt-Ni systems in the development of fuel cell catalysts. Furthermore, these techniques have also been used for a variety of metal combinations, and can be applied to develop catalysts for a number of electrochemical processes.
Authors:
 [1] ;  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Report Number(s):
NREL/JA-5900-68622
Journal ID: ISSN 1940-087X; jove
Grant/Contract Number:
AC36-08GO28308
Type:
Accepted Manuscript
Journal Name:
Journal of Visualized Experiments
Additional Journal Information:
Journal Issue: 134; Journal ID: ISSN 1940-087X
Publisher:
MyJoVE Corp.
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Hydrogen and Fuel Cell Technologies Program (EE-3F)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; platinum; extended surfaces; oxygen reduction; fuel cells
OSTI Identifier:
1440397

Alia, Shaun M., and Pivovar, Bryan S.. Synthesis of Platinum-nickel Nanowires and Optimization for Oxygen Reduction Performance. United States: N. p., Web. doi:10.3791/56667.
Alia, Shaun M., & Pivovar, Bryan S.. Synthesis of Platinum-nickel Nanowires and Optimization for Oxygen Reduction Performance. United States. doi:10.3791/56667.
Alia, Shaun M., and Pivovar, Bryan S.. 2018. "Synthesis of Platinum-nickel Nanowires and Optimization for Oxygen Reduction Performance". United States. doi:10.3791/56667. https://www.osti.gov/servlets/purl/1440397.
@article{osti_1440397,
title = {Synthesis of Platinum-nickel Nanowires and Optimization for Oxygen Reduction Performance},
author = {Alia, Shaun M. and Pivovar, Bryan S.},
abstractNote = {Platinum-nickel (Pt-Ni) nanowires were developed as fuel cell electrocatalysts, and were optimized for the performance and durability in the oxygen reduction reaction. Spontaneous galvanic displacement was used to deposit Pt layers onto Ni nanowire substrates. The synthesis approach produced catalysts with high specific activities and high Pt surface areas. Hydrogen annealing improved Pt and Ni mixing and specific activity. Acid leaching was used to preferentially remove Ni near the nanowire surface, and oxygen annealing was used to stabilize near-surface Ni, improving durability and minimizing Ni dissolution. These protocols detail the optimization of each post-synthesis processing step, including hydrogen annealing to 250 degrees C, exposure to 0.1 M nitric acid, and oxygen annealing to 175 degrees C. Through these steps, Pt-Ni nanowires produced increased activities more than an order of magnitude than Pt nanoparticles, while offering significant durability improvements. The presented protocols are based on Pt-Ni systems in the development of fuel cell catalysts. Furthermore, these techniques have also been used for a variety of metal combinations, and can be applied to develop catalysts for a number of electrochemical processes.},
doi = {10.3791/56667},
journal = {Journal of Visualized Experiments},
number = 134,
volume = ,
place = {United States},
year = {2018},
month = {1}
}