A General Metal Ion Recognition Strategy to Mediate Dual-Atomic-Site Catalysts

Heterogeneous dual-atomic-site catalysts (DACs) hold great potential for diverse applications. However, to date, the synthesis of DACs primarily relies on different atoms freely colliding on the support during synthesis, principally leading to low yields. Herein, we report a general metal ion recognition (MIR) strategy for constructing a series of DACs, including but not limited to Fe<sub>1</sub>Sn<sub>1</sub>, Fe<sub>1</sub>Co<sub>1</sub>, Fe<sub>1</sub>Ni<sub>1</sub>, Fe<sub>1</sub>Cu<sub>1</sub>, Fe<sub>1</sub>Mn<sub>1</sub>, Co<sub>1</sub>Ni<sub>1</sub>, Co<sub>1</sub>Cu<sub>1</sub>, Co<sub>2</sub>, and Cu<sub>2</sub>. This strategy is achieved by coupling target inorganometallic cations and anions as ion pairs, which are sequentially adsorbed onto a nitrogen-doped carbon substrate as the precursor. Taking the oxygen reduction reaction as an example, we demonstrated that the Fe<sub>1</sub>Sn<sub>1</sub>-DAC synthesized through this strategy delivers a record peak power density of 1.218 W cm<sup>-2</sup> under 2.0 bar H<sub>2</sub>-O<sub>2</sub> conditions and enhanced stability compared to the single-atom-site FeN<sub>4</sub>. Further study revealed that the superior performance arises from the synergistic effect of Fe<sub>1</sub>Sn<sub>1</sub> dual vicinal sites, which effectively optimizes the adsorption of *OH and alleviates the troublesome Fenton-like reaction.

Authors

Institutions

Publication Details

Journal
Journal of the American Chemical Society
Published
2024-08-30
DOI
https://doi.org/10.1021/jacs.4c06173
Citations
83
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
9.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A General Metal Ion Recognition Strategy to Mediate Dual-Atomic-Site Catalysts

Zechao Zhuang, Zedong Zhang, Dingsheng S. Wang, Aijuan Han et al.
83 citations
Journal of the American Chemical Society
Catalytic Processes in Materials Science
9.72
article

A General Metal Ion Recognition Strategy to Mediate Dual-Atomic-Site Catalysts

Zechao Zhuang, Zedong Zhang, Dingsheng S. Wang, Aijuan Han, B.X. Wang, Zhongbin Zhuang, Junfeng Liu, Chao Ma, Libo Li, Yang Xiang, Chongbao Xie, Hao Liu
article en
83 citations

Abstract

Heterogeneous dual-atomic-site catalysts (DACs) hold great potential for diverse applications. However, to date, the synthesis of DACs primarily relies on different atoms freely colliding on the support during synthesis, principally leading to low yields. Herein, we report a general metal ion recognition (MIR) strategy for constructing a series of DACs, including but not limited to Fe<sub>1</sub>Sn<sub>1</sub>, Fe<sub>1</sub>Co<sub>1</sub>, Fe<sub>1</sub>Ni<sub>1</sub>, Fe<sub>1</sub>Cu<sub>1</sub>, Fe<sub>1</sub>Mn<sub>1</sub>, Co<sub>1</sub>Ni<sub>1</sub>, Co<sub>1</sub>Cu<sub>1</sub>, Co<sub>2</sub>, and Cu<sub>2</sub>. This strategy is achieved by coupling target inorganometallic cations and anions as ion pairs, which are sequentially adsorbed onto a nitrogen-doped carbon substrate as the precursor. Taking the oxygen reduction reaction as an example, we demonstrated that the Fe<sub>1</sub>Sn<sub>1</sub>-DAC synthesized through this strategy delivers a record peak power density of 1.218 W cm<sup>-2</sup> under 2.0 bar H<sub>2</sub>-O<sub>2</sub> conditions and enhanced stability compared to the single-atom-site FeN<sub>4</sub>. Further study revealed that the superior performance arises from the synergistic effect of Fe<sub>1</sub>Sn<sub>1</sub> dual vicinal sites, which effectively optimizes the adsorption of *OH and alleviates the troublesome Fenton-like reaction.

Journal of the American Chemical SocietyVol. 146(36)
Beijing University of Chemical Technology (CN), South China University of Technology (CN), Tsinghua University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 0%
Catalytic Processes in Materials Science
9.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.