Morphology Engineering Derived <scp>CoOOH</scp> With Tunable Oxygen Vacancies for Potential‐Dependent Selective Electrooxidation

The electrooxidation of 5‐hydroxymethylfurfural (HMF) represents a crucial route for sustainable biomass valorization. However, achieving oriented selectivity among oxidation products on one single catalyst remains challenging. Herein, we employed a morphology‐engineering strategy on CoFe Prussian blue analogue (PBA) precursors to derive a CoOOH catalyst for the selective electrooxidation of HMF. As the precursor morphology evolves from solid cubes to hollow boxes and further to hollow frames, the resulting CoOOH exhibits a progressive increase in oxygen vacancy density and accessible active sites. These structural features not only enhance the co‐adsorption of HMF and OH − but also accelerate the formation kinetics of the active CoOOH species, as well as significantly lower the energy barrier for HMF to HMFCA conversion at low potentials (1.10 V vs RHE) while suppressing over‐oxidation. The optimized catalyst enables a 5‐hydroxymethyl‐2‐furancarboxylic acid (HMFCA) yield of 91.0% at 1.10 V and an almost quantitative 2,5‐furandicarboxylic acid (FDCA) yield of ~100% at 1.40 V. This work demonstrates a single‐catalyst platform for the selective synthesis of multiple value‐added chemicals, establishes a clear relationship between defect density and electrocatalytic performance, and provides important guidance for the design of advanced heterogeneous electrocatalysts.

Authors

Institutions

Publication Details

Journal
Energy & environment materials
Published
2026-05-29
DOI
https://doi.org/10.1002/eem2.70439
Primary Topic
Catalysis for Biomass Conversion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Morphology Engineering Derived CoOOH With Tunable Oxygen Vacancies for Potential‐Dependent Selective Electrooxidation

Zongxuan Yang, Pei Yuan, Cejun Hu, Jinming Huang et al.
Energy & environment materials
Catalysis for Biomass Conversion
article

Morphology Engineering Derived CoOOH With Tunable Oxygen Vacancies for Potential‐Dependent Selective Electrooxidation

Zongxuan Yang, Pei Yuan, Cejun Hu, Jinming Huang, Xiaojun Bao, Zhichen Liu, Hongwei Zhang, Xinru Wu, Qingchen Wu
article en

Abstract

The electrooxidation of 5‐hydroxymethylfurfural (HMF) represents a crucial route for sustainable biomass valorization. However, achieving oriented selectivity among oxidation products on one single catalyst remains challenging. Herein, we employed a morphology‐engineering strategy on CoFe Prussian blue analogue (PBA) precursors to derive a CoOOH catalyst for the selective electrooxidation of HMF. As the precursor morphology evolves from solid cubes to hollow boxes and further to hollow frames, the resulting CoOOH exhibits a progressive increase in oxygen vacancy density and accessible active sites. These structural features not only enhance the co‐adsorption of HMF and OH − but also accelerate the formation kinetics of the active CoOOH species, as well as significantly lower the energy barrier for HMF to HMFCA conversion at low potentials (1.10 V vs RHE) while suppressing over‐oxidation. The optimized catalyst enables a 5‐hydroxymethyl‐2‐furancarboxylic acid (HMFCA) yield of 91.0% at 1.10 V and an almost quantitative 2,5‐furandicarboxylic acid (FDCA) yield of ~100% at 1.40 V. This work demonstrates a single‐catalyst platform for the selective synthesis of multiple value‐added chemicals, establishes a clear relationship between defect density and electrocatalytic performance, and provides important guidance for the design of advanced heterogeneous electrocatalysts.

Energy & environment materials
Fuzhou University (CN)
Responsible consumption and production
Openalex Percentile: Top 9%
Catalysis for Biomass 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.