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铁氮碳电催化剂的设计原理:如何优化多模态多孔结构?

Design Principle of Fe-N-C Electrocatalysts: How to Optimize Multimodal Porous Structures?

作者信息

Lee Soo Hong, Kim Jiheon, Chung Dong Young, Yoo Ji Mun, Lee Hyeon Seok, Kim Min Jeong, Mun Bongjin Simon, Kwon Soon Gu, Sung Yung-Eun, Hyeon Taeghwan

机构信息

Center for Nanoparticle Research , Institute for Basic Science (IBS) , Seoul 08826 , Republic of Korea.

School of Chemical and Biological Engineering, and Institute of Chemical Processes , Seoul National University , Seoul 08826 , Republic of Korea.

出版信息

J Am Chem Soc. 2019 Feb 6;141(5):2035-2045. doi: 10.1021/jacs.8b11129. Epub 2019 Jan 18.

Abstract

The effect of porous structures on the electrocatalytic activity of N-doped carbon is studied by using electrochemical analysis techniques and the result is applied to synthesize highly active and stable Fe-N-C catalyst for oxygen reduction reaction (ORR). We developed synthetic procedures to prepare three types of N-doped carbon model catalysts that are designed for systematic comparison of the porous structures. The difference in their catalytic activity is investigated in relation to the surface area and the electrochemical parameters. We found that macro- and mesoporous structures contribute to different stages of the reaction kinetics. The catalytic activity is further enhanced by loading the optimized amount of Fe to prepare Fe-N-C catalyst. In both N-doped carbon and Fe-N-C catalysts, the hierarchical porous structure improved electrocatalytic performance in acidic and alkaline media. The optimized catalyst exhibits one of the best ORR performance in alkaline medium with excellent long-term stability in anion exchange membrane fuel cell and accelerated durability test. Our study establishes a basis for rationale design of the porous carbon structure for electrocatalytic applications.

摘要

利用电化学分析技术研究了多孔结构对氮掺杂碳电催化活性的影响,并将结果应用于合成用于氧还原反应(ORR)的高活性和稳定的Fe-N-C催化剂。我们开发了合成程序来制备三种类型的氮掺杂碳模型催化剂,旨在对多孔结构进行系统比较。研究了它们的催化活性差异与表面积和电化学参数的关系。我们发现大孔和中孔结构对反应动力学的不同阶段有贡献。通过负载优化量的铁来制备Fe-N-C催化剂,催化活性进一步提高。在氮掺杂碳和Fe-N-C催化剂中,分级多孔结构均提高了在酸性和碱性介质中的电催化性能。优化后的催化剂在碱性介质中表现出最佳的ORR性能之一,在阴离子交换膜燃料电池和加速耐久性测试中具有出色的长期稳定性。我们的研究为电催化应用中多孔碳结构的合理设计奠定了基础。

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