Lewis Pair‐Engineered CuMnO <sub>x</sub> as Cold‐Adapted Multinanozyme for Cooperative Hydrolytic and Oxidative Degradation of Raw Corn Stalk

The full-component utilization of lignocellulosic biomass under mild conditions remains a formidable challenge for both biocatalytic systems and industrial processes. Herein, we report a Lewis pair engineering strategy to construct a defective Cu-doped Mn oxide nanozyme (D-CuMnO<sub>x</sub>) featuring the simultaneous introduction of manganese and oxygen vacancies. The resulting undercoordinated Mn sites act as Lewis acids to activate glycosidic bonds, while adjacent oxygen species serve as Lewis bases to promote nucleophilic attack and electron transfer, thereby collectively lowering the energy barriers for both hydrolytic and oxidative reactions. As a consequence, D-CuMnO<sub>x</sub> exhibits an approximately fourfold enhancement in glycosidase activity and markedly improved cold-adapted performance compared with oxygen-vacancy-only CuMnO<sub>x</sub>, while simultaneously maintaining robust oxidase-like activity. Benefiting from these advantages, D-CuMnO<sub>x</sub> serves as a cooperative hydrolytic-oxidative platform that enables the depolymerization of cellulose and hemicellulose alongside the oxidative cleavage of lignin, thereby achieving simultaneous degradation of the major components in raw corn stalks under mild and low-temperature conditions. This work establishes Lewis pair engineering as a versatile strategy for the rational design of multifunctional cold-adapted nanozymes and highlights their considerable potential for sustainable biomass valorization.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-02-15
DOI
https://doi.org/10.1002/advs.202519235
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lewis Pair‐Engineered CuMnO x as Cold‐Adapted Multinanozyme for Cooperative Hydrolytic and Oxidative Degradation of Raw Corn Stalk

Qing Tian, Z. J. Ye, Yue Zhou, Lianbing Zhang et al.
Advanced Science
Advanced Nanomaterials in Catalysis
article

Lewis Pair‐Engineered CuMnO x as Cold‐Adapted Multinanozyme for Cooperative Hydrolytic and Oxidative Degradation of Raw Corn Stalk

Qing Tian, Z. J. Ye, Yue Zhou, Lianbing Zhang, Haoyu Wang, Hailong Liu, Yao Chen, Zhiyi Bai, Ziyi Di
article en

Abstract

The full-component utilization of lignocellulosic biomass under mild conditions remains a formidable challenge for both biocatalytic systems and industrial processes. Herein, we report a Lewis pair engineering strategy to construct a defective Cu-doped Mn oxide nanozyme (D-CuMnO<sub>x</sub>) featuring the simultaneous introduction of manganese and oxygen vacancies. The resulting undercoordinated Mn sites act as Lewis acids to activate glycosidic bonds, while adjacent oxygen species serve as Lewis bases to promote nucleophilic attack and electron transfer, thereby collectively lowering the energy barriers for both hydrolytic and oxidative reactions. As a consequence, D-CuMnO<sub>x</sub> exhibits an approximately fourfold enhancement in glycosidase activity and markedly improved cold-adapted performance compared with oxygen-vacancy-only CuMnO<sub>x</sub>, while simultaneously maintaining robust oxidase-like activity. Benefiting from these advantages, D-CuMnO<sub>x</sub> serves as a cooperative hydrolytic-oxidative platform that enables the depolymerization of cellulose and hemicellulose alongside the oxidative cleavage of lignin, thereby achieving simultaneous degradation of the major components in raw corn stalks under mild and low-temperature conditions. This work establishes Lewis pair engineering as a versatile strategy for the rational design of multifunctional cold-adapted nanozymes and highlights their considerable potential for sustainable biomass valorization.

Advanced Science
Northwestern Polytechnical University (CN), Henan Academy of Sciences (CN)
Responsible consumption and production
Openalex Percentile: Top 56%
Advanced Nanomaterials in Catalysis
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.