Medium-Entropy LDH-Driven Electronic Coupling of MnO x for Preferential Oxidation of Formaldehyde

Abstract Preferential oxidation of formaldehyde (HCHO) in natural gas engine exhaust is pivotal to prevent NH3–SCR catalyst deactivation and inhibit highly toxic hydrogen cyanide (HCN) formation. Although manganese-based catalysts exhibit prominent activity for HCHO oxidation, complete mineralization is still hindered by poor electron-transfer efficiency and insufficient reactive oxygen species (ROS) generation. Herein, we fabricate hierarchical medium-entropy LDH nanoflower-anchored MnOx catalysts (MnO2@NiMgAl-MELH) via a facile in situ growth strategy, enabling 100% mineralization of HCHO at room temperature. Structural characterizations and DFT calculations verify that Ni–Mn electronic coupling optimizes the electronic structure, facilitates charge transfer, reduces oxygen vacancy formation energy, and boosts O2 and H2O activation to generate abundant ROS (O2–, O22–, and surface −OH). Furthermore, in situ DRIFTS confirms that ROS synergistically accelerate HCHO and formate intermediate oxidation, achieving complete mineralization of HCHO. This work develops a low-cost and high-performance catalyst for HCHO preferential oxidation and offers a broadly applicable strategy for air pollutant purification.

Authors

Institutions

Publication Details

Journal
Environmental Science & Technology
Published
2026-10-16
DOI
https://doi.org/10.1021/acs.est.6c10822
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Medium-Entropy LDH-Driven Electronic Coupling of MnO x for Preferential Oxidation of Formaldehyde

Michael K.H. Leung, Tao Dong, Tao Ban, Haiyan Li et al.
Environmental Science & Technology
Catalytic Processes in Materials Science
article

Medium-Entropy LDH-Driven Electronic Coupling of MnO x for Preferential Oxidation of Formaldehyde

Michael K.H. Leung, Tao Dong, Tao Ban, Haiyan Li, Haibao Huang, Xuanning Wu
article en

Abstract

Abstract Preferential oxidation of formaldehyde (HCHO) in natural gas engine exhaust is pivotal to prevent NH3–SCR catalyst deactivation and inhibit highly toxic hydrogen cyanide (HCN) formation. Although manganese-based catalysts exhibit prominent activity for HCHO oxidation, complete mineralization is still hindered by poor electron-transfer efficiency and insufficient reactive oxygen species (ROS) generation. Herein, we fabricate hierarchical medium-entropy LDH nanoflower-anchored MnOx catalysts (MnO2@NiMgAl-MELH) via a facile in situ growth strategy, enabling 100% mineralization of HCHO at room temperature. Structural characterizations and DFT calculations verify that Ni–Mn electronic coupling optimizes the electronic structure, facilitates charge transfer, reduces oxygen vacancy formation energy, and boosts O2 and H2O activation to generate abundant ROS (O2–, O22–, and surface −OH). Furthermore, in situ DRIFTS confirms that ROS synergistically accelerate HCHO and formate intermediate oxidation, achieving complete mineralization of HCHO. This work develops a low-cost and high-performance catalyst for HCHO preferential oxidation and offers a broadly applicable strategy for air pollutant purification.

Environmental Science & Technology
Sun Yat-sen University (CN), City University of Hong Kong (HK), Xinjiang University (CN)
China Postdoctoral Science Foundation, Science and Technology Department of Xinjiang Uyghur Autonomous Region, Shenzhen Science and Technology Innovation Program
Affordable and clean energy
Openalex Percentile: Top 28%
Catalytic Processes in Materials Science
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.