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A Review of Graphene-Based Nanostructural Materials for Both Catalyst Supports and Metal-Free Catalysts in PEM Fuel Cell Oxygen Reduction Reactions
被引:454
作者:
Zhou, Xuejun
[1
]
Qiao, Jinli
[1
,2
]
Yang, Lin
[2
]
Zhang, Jiujun
[2
,3
]
机构:
[1] Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
[2] Henan Normal Univ, Key Lab Green Chem Media & React, Minist Educ, Sch Chem & Chem Engn, Xinxiang 453007, Peoples R China
[3] Natl Res Council Canada, NRC Energy Min & Environm, Vancouver, BC V6T 1W5, Canada
基金:
中国国家自然科学基金;
关键词:
NITROGEN-DOPED GRAPHENE;
ONE-POT SYNTHESIS;
ELECTROCATALYTIC ACTIVITY;
PLATINUM NANOPARTICLES;
EFFICIENT ELECTROCATALYST;
ALLOY NANOPARTICLES;
CARBON NANOTUBES;
FUNCTIONALIZED GRAPHENE;
CATHODE ELECTROCATALYST;
SOLVOTHERMAL SYNTHESIS;
D O I:
10.1002/aenm.201301523
中图分类号:
O64 [物理化学(理论化学)、化学物理学];
学科分类号:
070304 ;
081704 ;
摘要:
A comprehensive overview and description of graphene-based nanomaterials explored in recent years for catalyst supports and metal-free catalysts for polymer electrolyte membrane (PEM) fuel cell oxygen reduction reactions (ORR) is presented. The catalyst material structures/morphologies, material selection, and design for synthesis, catalytic performance, catalytic mechanisms, and theoretical approaches for catalyst down-selection and catalyzed ORR mechanisms are emphasized with respect to the performance of ORR catalysts in terms of both activity and stability. When graphene-based materials, including graphene and doped graphene, are used as the supporting materials for both Pt/Pt alloy catalysts and non-precious metal catalyst, the resulting ORR catalysts can give superior catalyst activity and stability compared to those of conventional carbon-supported catalysts; when they are used as metal-free ORR catalysts, significant catalytic activity and stability are observed. The nitrogen-doped graphene materials even show superior performance compared to supported metal catalysts. Challenges including the lack of material mass production, unoptimized catalyst structure/morphology, insufficient fundamental understanding, and testing tools/protocols for performance optimization and validation are identified, and approaches to address these challenges are suggested.
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