Deformed One-Dimensional Covalent Organic Polymers for Enhanced CO Electroreduction to Methanol

Spatially arranged molecular catalysts in polymeric frameworks, typically in a layered structure, are emerging strategies to mitigate the molecular aggregation and improve the catalytic performance. However, the effect of local coordination induced by polymerization remains underexplored. Here, we develop one-dimensional cobalt-tetra-amino-phthalocyanine-based covalent organic polymers (1D-COP) for the electrochemical CO reduction reaction (CORR). We use carbon nanotubes as ideal templates to induce local curvature of the 1D-COP. The COP on single-walled CNT (1D-COP/SWCNT) catalyst exhibits a maximum methanol Faradaic efficiency of 70% in an H-cell, which exceeds those on wider-diameter multiwalled carbon nanotubes (22% for 4-6 nm and 14% for 10-20 nm). Using X-ray and vibronic spectroscopies, we have observed distinct local geometries and electronic structures induced by the strong interactions between the COP layer and CNT substrates. Density functional theory calculations further support that increased curvature of the COP-SWCNT catalyst enhances the *CO binding species, leading to improved subsequent reduction reactions. Our results highlight the critical role of the local structure in polymeric frameworks for improved electrocatalytic performance.

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Publication Details

Journal
ACS Nano
Published
2025-06-18
DOI
https://doi.org/10.1021/acsnano.5c06511
Citations
1
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
0.36

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article

Deformed One-Dimensional Covalent Organic Polymers for Enhanced CO Electroreduction to Methanol

Ruquan Ye, Yun Ho Song, Peter A. van Aken, Yinger Xin et al.
1 citations
ACS Nano
CO2 Reduction Techniques and Catalysts
0.36
article

Deformed One-Dimensional Covalent Organic Polymers for Enhanced CO Electroreduction to Methanol

Ruquan Ye, Yun Ho Song, Peter A. van Aken, Yinger Xin, Molly Meng‐Jung Li, William A. Goddard, Tanglue Feng, Jianjun Su, Weihua Guo, Libei Huang, Charles B. Musgrave, Xing Li, Honglei Wang, Geng Li, Qiang Zhang, Yong Liu, Pei Xiong, Hongguang Wang, Mingming He, Jiangtong Li
article en
1 citations

Abstract

Spatially arranged molecular catalysts in polymeric frameworks, typically in a layered structure, are emerging strategies to mitigate the molecular aggregation and improve the catalytic performance. However, the effect of local coordination induced by polymerization remains underexplored. Here, we develop one-dimensional cobalt-tetra-amino-phthalocyanine-based covalent organic polymers (1D-COP) for the electrochemical CO reduction reaction (CORR). We use carbon nanotubes as ideal templates to induce local curvature of the 1D-COP. The COP on single-walled CNT (1D-COP/SWCNT) catalyst exhibits a maximum methanol Faradaic efficiency of 70% in an H-cell, which exceeds those on wider-diameter multiwalled carbon nanotubes (22% for 4-6 nm and 14% for 10-20 nm). Using X-ray and vibronic spectroscopies, we have observed distinct local geometries and electronic structures induced by the strong interactions between the COP layer and CNT substrates. Density functional theory calculations further support that increased curvature of the COP-SWCNT catalyst enhances the *CO binding species, leading to improved subsequent reduction reactions. Our results highlight the critical role of the local structure in polymeric frameworks for improved electrocatalytic performance.

ACS NanoVol. 19(25)
Technische Universität Ilmenau (DE), California Institute of Technology (US), Hong Kong Polytechnic University (HK), City University of Hong Kong (HK), Max Planck Institute for Solid State Research (DE), State Key Laboratory of Pollution Control and Resource Reuse (CN)
City University of Hong Kong, State Key Laboratory in Marine Pollution, Science and Technology Foundation of Shenzhen City, Research Grants Council, University Grants Committee, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 42%
CO2 Reduction Techniques and Catalysts
0.36
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