Cu <sup>+</sup> ‐Cu <sup>0</sup> Cluster Pairs in Defective MOFs for Highly Synergistic CO <sub>2</sub> Hydrogenation to Methanol

X Xuehui Jia W Weige Su C Changheng Zhong (Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China) Z Zuxue Bai (Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China) J Jingyu Bao (Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China) Y Yan Zhang X Xin Yu (BGI Research, Qingdao, China.) J Jianmin Chen Z Zhaowei Jia (Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China) R Ruimeng Wang (Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China) L Liqin Zhou (Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China) J Jiguang Deng (State Key Laboratory of Materials Low-Carbon Recycling, College of Materials Science and Engineering) Z Zhongxing Zhao Z Zhenxia Zhao (School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of AI-Driven Zero-Carbon Technologies, Key Laboratory of New Low-carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region)

Abstract

ABSTRACT Precise arrangement of multivalent Cu sites for the synchronized activation of CO 2 and H 2 in selective methanol synthesis remained challenging. Herein, we designed spatially arrayed Cu + ‐Cu 0 cluster pairs confined within UiO‐66 (U66) to achieve spatiotemporally directed CO 2 hydrogenation to methanol. This architecture was constructed by creating missing‐linker defects within U66 using L‐ascorbic acid (LA), followed by sequential anchoring of high‐density, adjacent Cu + ‐Cu 0 cluster pairs (≈1:1 ratio) to yield a Cu/U66(LA‐Cu) catalyst. Under reaction conditions of 220°C and 3 MPa, this catalyst achieved a methanol space‐time yield of 688.1 mg·g −1 ·h −1 and an ultra‐high methanol selectivity (97.0%). Its unity‐methanol selectivity was 1.06–1.77 times that of high‐stability oxide materials. Meanwhile, catalyst's stability of 200 h was significantly prolonged compared to high‐selectivity MOF‐based catalysts that operated stably for 60–175 h. Mechanistic studies revealed that Cu + ‐Cu 0 cluster pairs within defective U66 not only enabled partitioned synergistic activation of CO 2 and H 2 , but established an efficient electron/hydrogen transfer pathway. This facilitated the migration of active hydrogen species to CO 2 adsorption sites, where adsorbed CO 2 was converted into CO intermediates and underwent deep hydrogenation. This structural design synergistically enhanced compatibility between H 2 dissociation and CO 2 hydrogenation steps, enabling reaction to proceed efficiently along the RWGS + CO‐hydro pathway.

Article Details

Volume / Issue Vol. 1, Issue 1
Published July 21, 2026
ISSN 1433-7851
Publisher Wiley

Journal Info

Angewandte Chemie International Edition

Wiley

ISSN: 1433-7851 Physical Sciences

Authors (14)

X

Xuehui Jia

W

Weige Su

C

Changheng Zhong

Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China

Z

Zuxue Bai

Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China

J

Jingyu Bao

Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China

Y

Yan Zhang

X

Xin Yu

BGI Research, Qingdao, China.

J

Jianmin Chen

Z

Zhaowei Jia

Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China

R

Ruimeng Wang

Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China

L

Liqin Zhou

Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technology Key Laboratory of New Low‐Carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region School of Chemistry and Chemical Engineering Guangxi University Nanning People's Republic of China

J

Jiguang Deng

State Key Laboratory of Materials Low-Carbon Recycling, College of Materials Science and Engineering

Z

Zhongxing Zhao

Z

Zhenxia Zhao

School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of AI-Driven Zero-Carbon Technologies, Key Laboratory of New Low-carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region