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Solvent Effects on Metal‐free Covalent Organic Frameworks in Oxygen Reduction Reaction.

  • Published In: Angewandte Chemie, 2024, v. 136, n. 16. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Yang, Xiubei; Fu, Yubin; Liu, Minghao; Zheng, Shuang; Li, Xuewen; Xu, Qing; Zeng, Gaofeng 3 of 3

Abstract

Binding water molecules to polar sites in covalent organic frameworks (COFs) is inevitable, but the corresponding solvent effects in electrocatalytic process have been largely overlooked. Herein, we investigate the solvent effects on COFs for catalyzing the oxygen reduction reaction (ORR). Our designed COFs incorporated different kinds of nitrogen atoms (imine N, pyridine N, and phenazine N), enabling tunable interactions with water molecules. These interactions play a crucial role in modulating electronic states and altering the catalytic centers within the COFs. Among the synthesized COFs, the one with pyridine N atoms exhibits the highest activity, with characterized by a half‐wave potential of 0.78 V and a mass activity of 0.32 A mg−1, which surpass those from other metal‐free COFs. Theoretical calculations further reveal that the enhanced activity can be attributed to the stronger binding ability of *OOH intermediates to the carbon atoms adjacent to the pyridine N sites. This work sheds light on the significance of considering solvent effects on COFs in electrocatalytic systems, providing valuable insights into their design and optimization for improved performance. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Angewandte Chemie. 2024/04, Vol. 136, Issue 16, p1
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2024
  • ISSN:0044-8249
  • DOI:10.1002/ange.202319247
  • Accession Number:176537289
  • Copyright Statement:Copyright of Angewandte Chemie is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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