Molecular Design of 1D Iron‐Based MOF for High‐Performance Oxygen Evolution Reaction

ABSTRACT We designed a series of one‐dimensional metal–organic frameworks (MOFs) on nickel‐iron foam (NiFe foam) surfaces via molecular tailoring and assembly to achieve enhanced electrocatalytic performance. Molecular tailoring was accomplished by introducing secondary metal ions (Ni or CoNi) and substituting bulky ligands in [Fe(Htpim) 2 (HOBA) 2 ·2(H 2 O)] n ( Fe‐MOF‐L ; Htpim = 2,4,5‐tri(4‐pyridyl)‐imidazole; H 2 OBA = 4,4′‐oxybisbenzoic acid) with compact acetate ligands, yielding MFe‐MOF‐L (M═Ni or CoNi) and [Fe(Htpim) 2 (CH 3 COO) 2 ] n ( Fe‐MOF) . The morphology of MOFs was tuned by varying the NiFe foam thickness and controlling reaction conditions. Synergistic etching of the substrate coupled with in situ generation of compact CH 3 COO − ligands enabled the formation of ultrafine hierarchical nanostructures. The Fe‐MOF@4 mm NiFe foam catalyst exhibited ultralow overpotentials of 194, 201, and 208 mV at 100, 500, and 1000 mA cm −2 , respectively. Moreover, the catalyst demonstrated excellent stability, sustaining consistent activity for 180 h in 1.0 M KOH and 150 h in alkaline natural seawater at 1000 mA cm −2 , with negligible degradation. Both experimental analyses and theoretical calculations revealed that ligand exchange to introduce compact CH 3 COO − ligands in Fe‐MOF represents the most efficient approach to achieve milestone performance in MOF‐based oxygen evolution reaction (OER) electrocatalysis.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2026-09-01
DOI
https://doi.org/10.1002/adfm.78155
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Molecular Design of 1D Iron‐Based MOF for High‐Performance Oxygen Evolution Reaction

Jiangyan Dang, Dan Xie, Jingping Zhang, Wenliang Li et al.
Advanced Functional Materials
Electrocatalysts for Energy Conversion
article

Molecular Design of 1D Iron‐Based MOF for High‐Performance Oxygen Evolution Reaction

Jiangyan Dang, Dan Xie, Jingping Zhang, Wenliang Li, Muhammad Rafiq, Xiaoying Zhang, Wenjuan Xu
article en

Abstract

ABSTRACT We designed a series of one‐dimensional metal–organic frameworks (MOFs) on nickel‐iron foam (NiFe foam) surfaces via molecular tailoring and assembly to achieve enhanced electrocatalytic performance. Molecular tailoring was accomplished by introducing secondary metal ions (Ni or CoNi) and substituting bulky ligands in [Fe(Htpim) 2 (HOBA) 2 ·2(H 2 O)] n ( Fe‐MOF‐L ; Htpim = 2,4,5‐tri(4‐pyridyl)‐imidazole; H 2 OBA = 4,4′‐oxybisbenzoic acid) with compact acetate ligands, yielding MFe‐MOF‐L (M═Ni or CoNi) and [Fe(Htpim) 2 (CH 3 COO) 2 ] n ( Fe‐MOF) . The morphology of MOFs was tuned by varying the NiFe foam thickness and controlling reaction conditions. Synergistic etching of the substrate coupled with in situ generation of compact CH 3 COO − ligands enabled the formation of ultrafine hierarchical nanostructures. The Fe‐MOF@4 mm NiFe foam catalyst exhibited ultralow overpotentials of 194, 201, and 208 mV at 100, 500, and 1000 mA cm −2 , respectively. Moreover, the catalyst demonstrated excellent stability, sustaining consistent activity for 180 h in 1.0 M KOH and 150 h in alkaline natural seawater at 1000 mA cm −2 , with negligible degradation. Both experimental analyses and theoretical calculations revealed that ligand exchange to introduce compact CH 3 COO − ligands in Fe‐MOF represents the most efficient approach to achieve milestone performance in MOF‐based oxygen evolution reaction (OER) electrocatalysis.

Advanced Functional Materials
Northeast Normal University (CN), Central China Normal University (CN)
National Natural Science Foundation of China, People's Government of Jilin Province, Education Department of Jilin Province, Fundamental Research Funds for the Central Universities
Life below water
Openalex Percentile: Top 29%
Electrocatalysts for Energy Conversion
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.