Photochemical Anchoring of Ultrahigh‐Loading Single‐Atom Catalysts in MOFs for Enhanced Oxidase‐Mimicking Activity

Y Yubei Zhang (Materials Artificial Intelligence Center Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China) M Mingyang Jiang (Shenzhen Geim Graphene Center, Shenzhen Key Laboratory for Graphene-Based Materials, Tsinghua Shenzhen International Graduate School) L Lie Wu (Tianjin Key Laboratory of Molecular Recognition and Biosensing Research Center for Analytical Science, College of Chemistry Nankai University Tianjin China) C Chenchen Chu (Materials Artificial Intelligence Center Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China) C Chaolei Hua (Materials Artificial Intelligence Center Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China) X Xudong Li (Shenzhen All-Solid-State Lithium Battery Electrolyte Engineering Research Center, Institute of Materials Research (IMR), Tsinghua Shenzhen International Graduate School) C Chu Li (Department of Physics) Y Yijie Chen Q Qiongdi Zhang (Materials Artificial Intelligence Center Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China) X Xue‐Feng Yu (Materials Artificial Intelligence Center, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences 1068 Xueyuan Avenue Shenzhen 518055 P.R. China) S Shengyong Geng (Materials Artificial Intelligence Center Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China) W Wenhua Zhou

Abstract

Abstract Achieving high metal loadings in metal–organic frameworks (MOFs)‐based single‐atom catalysts (SACs) remains a major challenge due to the degradation of anchoring sites during high‐temperature synthesis. Here, a low‐temperature photochemical reduction strategy that preserves the structural integrity of MOF and maximizes the density of unsaturated pyridinic nitrogen sites for efficient metal atom anchoring is reported. This pyrolysis‐free approach enables the synthesis of SACs with record‐high metal loadings, up to 20.5 wt.% for Pt, 16.9 wt.% for Ru, 15.4 wt.% for Os, 12.9 wt.% for Fe, and 9.6 wt.% for Cu, surpassing previous MOF‐derived SACs by one order of magnitude. Density functional theory (DFT) calculations reveal that the unique Pt‐N 2 Cl 2 coordination significantly enhances oxidase‐like activity compared to conventional Pt‐N 3 configurations. Furthermore, the high metal loading increases the density of catalytically active sites, thereby improving overall catalytic efficiency. As a proof of concept, a Pt‐SACs@MOF‐based immunosensor achieves ultrasensitive detection of α‐fetoprotein (AFP) with a detection limit as low as 3 fg mL −1 . This work offers a general and scalable strategy for synthesizing high‐density SACs, addressing the long‐standing trade‐off between metal loading and structural stability in MOF‐based catalysts.

Article Details

Volume / Issue Vol. 38, Issue 8
Published February 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (12)

Y

Yubei Zhang

Materials Artificial Intelligence Center Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China

M

Mingyang Jiang

Shenzhen Geim Graphene Center, Shenzhen Key Laboratory for Graphene-Based Materials, Tsinghua Shenzhen International Graduate School

L

Lie Wu

Tianjin Key Laboratory of Molecular Recognition and Biosensing Research Center for Analytical Science, College of Chemistry Nankai University Tianjin China

C

Chenchen Chu

Materials Artificial Intelligence Center Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China

C

Chaolei Hua

Materials Artificial Intelligence Center Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China

X

Xudong Li

Shenzhen All-Solid-State Lithium Battery Electrolyte Engineering Research Center, Institute of Materials Research (IMR), Tsinghua Shenzhen International Graduate School

C

Chu Li

Department of Physics

Y

Yijie Chen

Q

Qiongdi Zhang

Materials Artificial Intelligence Center Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China

X

Xue‐Feng Yu

Materials Artificial Intelligence Center, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences 1068 Xueyuan Avenue Shenzhen 518055 P.R. China

S

Shengyong Geng

Materials Artificial Intelligence Center Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China

W

Wenhua Zhou