Mechanistic Understanding of the pH-Dependent Oxygen Reduction Reaction on the Fe–N–C Surface: Linking Surface Charge to Adsorbed Oxygen-Containing Species

IF 8.3 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY ACS Applied Materials & Interfaces Pub Date : 2025-01-10 DOI:10.1021/acsami.4c18032
Wei Liu, Shushan Ye, Le Shi
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Abstract

The Fe–N–C catalyst, featuring a single-atom Fe–N4 configuration, is regarded as one of the most promising catalytic materials for the oxygen reduction reaction (ORR). However, the significant activity difference under acidic and alkaline conditions of Fe–N–C remains a long-standing puzzle. In this work, using extensive ab initio molecular dynamics (AIMD) simulations, we revealed that pH conditions influence ORR activity by tuning the surface charge density of the Fe–N–C surface, rather than through the direct involvement of H3O+ or OH ions. The acidic environment, combined with an elevated electrode potential, can result in a highly charged Fe–N–C surface. On this surface, the adsorbed *OH will spontaneously convert to *O and remain stable, accompanied by a change in the valence state of the Fe atom. This phenomenon makes the ORR step from *O to *OH the rate-determining step, thereby significantly reducing the corresponding ORR activity. Under fixed pH conditions and electrode potentials, the surface charge density of Fe–N–C can be tuned by changing the coordination environment of the Fe atom. Further calculations reveal that doping a Co4 cluster near the Fe active center or creating an edge-type Fe–N–C structure can effectively reduce the local charge density around the Fe atom. This reduction hinders the transition of *OH to *O, thereby enhancing ORR activity at a high electrode potential in acidic environments. Our work revealed the underlying explanation of the pH-dependent ORR activity for the Fe–N–C catalyst and sheds light on the future design and synthesis of high-performance Fe–N–C catalysts.

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Fe-N-C表面ph依赖氧还原反应的机理:将表面电荷与吸附的含氧物质连接起来
Fe-N-C催化剂具有单原子Fe-N4结构,被认为是最有前途的氧还原反应(ORR)催化材料之一。然而,Fe-N-C在酸性和碱性条件下的显著活性差异仍然是一个长期存在的难题。在这项工作中,使用广泛的从头算分子动力学(AIMD)模拟,我们揭示了pH条件通过调整Fe-N-C表面的表面电荷密度来影响ORR活性,而不是通过h30 +或OH -离子的直接参与。酸性环境,加上电极电位升高,会导致铁-氮-碳表面高度带电。在这个表面上,被吸附的*OH会自发地转化为*O并保持稳定,同时伴随着Fe原子价态的变化。这种现象使得从*O到*OH的ORR步骤成为速率决定步骤,从而显著降低相应的ORR活性。在固定的pH和电极电位条件下,可以通过改变Fe原子的配位环境来调节Fe - n - c的表面电荷密度。进一步的计算表明,在Fe活性中心附近掺杂Co4簇或形成边缘型Fe - n - c结构可以有效地降低Fe原子周围的局部电荷密度。这种还原阻碍了*OH到*O的转变,从而提高了酸性环境中高电极电位下ORR的活性。我们的工作揭示了Fe-N-C催化剂的ph依赖性ORR活性的潜在解释,并为未来高性能Fe-N-C催化剂的设计和合成提供了启示。
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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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