Published January 2024 | Version v1
Journal article

Π-skeleton tailoring of olefin-linked covalent organic frameworks achieving low exciton binding energy for photo-enhanced uranium extraction from seawater

  • 1. State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang, 330013 (China)
  • 2. Jiangxi Province Key Laboratory of Polymer Micro/Nano Manufacturing and Devices, East China University of Technology, Nanchang, 330013 (China)

Description

Adsorption-photocatalysis technology based on covalent organic frameworks (COFs) offers an alternative method for advancing the field of uranium extraction from seawater. When determining the photocatalytic activity of COFs, the binding energy of excitons (Eb) functions is the decisive factor. Nevertheless, the majority of reported COFs have a large Eb, which seriously restricts their application in the field of photocatalysis. Using a practical π-skeleton engineering strategy, the current study synthesizes three donor-acceptor olefin-linked COFs containing amidoxime units in an effort to minimize Eb. Theoretical and experimental results reveal that the construction of planar and continuous π-electron delocalization channels can significantly reduce Eb and promote the separation of electron-hole pairs, thereby enhancing the photocatalytic activities. Moreover, the Eb of the TTh-COF-AO with a planar π-skeleton donor is significantly reduced, and exhibits a substantially smaller Eb (38.4 meV). Under visible light irradiation, a high photo-enhanced uranium extraction capacity of 10.24 mg g1 is achieved from natural seawater without the addition of sacrificial reagents, which is superior to the majority of olefin-linked COFs that have been reported to date. This study, therefore, paves the way for the development of tailored, efficient COFs photocatalysts for the extraction of uranium from seawater. (© 2023 Wiley‐VCH GmbH)

Additional details

Identifiers

Publishing Information

Journal Title
Advanced Functional Materials (Internet)
Journal Volume
34
Journal Issue
1
Journal Page Range
p. 1-11
ISSN
1616-3028
CODEN
AFMDC6

Optional Information

Notes
AID: 2307230