Fluorenone-Based COFs with Electron-Relay Function for Highly Efficient Photocatalytic Uranium Extraction from Wastewater

The remediation of uranium-contaminated wastewater is crucial, given the severe environmental and health risks associated with uranium's chemical toxicity and radioactivity. Photocatalytic reduction of soluble U(VI) to insoluble U(IV) represents a promising strategy, yet its efficiency is often hampered by sluggish electron transfer kinetics, particularly at the catalyst-uranium interface. While covalent organic frameworks (COFs) are attractive photocatalysts, a significant challenge lies in simultaneously promoting intramolecular charge separation and interfacial electron injection. To address this, we constructed "electron relay stations" within a conjugated COF skeleton by incorporating fluorenone units. This design not only enhances intramolecular charge dissociation by strengthening the donor-acceptor interaction but also provides specific binding sites for UO<sub>2</sub><sup>2+</sup>, thereby effectively bridging bulk electron migration and surface reduction reactions. The optimized Py-FO-COF achieves a remarkable uranium removal rate of 99.6% and an exceptional adsorption capacity of 1057.1 mg g<sup>-1</sup> under visible light, significantly outperforming its control counterparts. Crucially, it maintains high efficiency (>98%) in treating real uranium-containing tailings wastewater and exhibits excellent selectivity and recyclability. This work underscores the importance of integrative molecular design in developing high-performance photocatalysts for radioactive environmental remediation.

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Journal
ACS Applied Materials & Interfaces
Published
2025-12-01
DOI
https://doi.org/10.1021/acsami.5c21083
Primary Topic
Covalent Organic Framework Applications
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article
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article

Fluorenone-Based COFs with Electron-Relay Function for Highly Efficient Photocatalytic Uranium Extraction from Wastewater

Xianlin Chen, Zhongsheng Chen, Fengtao Yu, Wanru Li et al.
ACS Applied Materials & Interfaces
Covalent Organic Framework Applications
article

Fluorenone-Based COFs with Electron-Relay Function for Highly Efficient Photocatalytic Uranium Extraction from Wastewater

Xianlin Chen, Zhongsheng Chen, Fengtao Yu, Wanru Li, Yanting Yang, H. Surya Prakash Rao
article en

Abstract

The remediation of uranium-contaminated wastewater is crucial, given the severe environmental and health risks associated with uranium's chemical toxicity and radioactivity. Photocatalytic reduction of soluble U(VI) to insoluble U(IV) represents a promising strategy, yet its efficiency is often hampered by sluggish electron transfer kinetics, particularly at the catalyst-uranium interface. While covalent organic frameworks (COFs) are attractive photocatalysts, a significant challenge lies in simultaneously promoting intramolecular charge separation and interfacial electron injection. To address this, we constructed "electron relay stations" within a conjugated COF skeleton by incorporating fluorenone units. This design not only enhances intramolecular charge dissociation by strengthening the donor-acceptor interaction but also provides specific binding sites for UO<sub>2</sub><sup>2+</sup>, thereby effectively bridging bulk electron migration and surface reduction reactions. The optimized Py-FO-COF achieves a remarkable uranium removal rate of 99.6% and an exceptional adsorption capacity of 1057.1 mg g<sup>-1</sup> under visible light, significantly outperforming its control counterparts. Crucially, it maintains high efficiency (>98%) in treating real uranium-containing tailings wastewater and exhibits excellent selectivity and recyclability. This work underscores the importance of integrative molecular design in developing high-performance photocatalysts for radioactive environmental remediation.

ACS Applied Materials & InterfacesVol. 17(49)
East China University of Technology (CN), Beijing Research Institute of Uranium Geology (CN)
Openalex Percentile: Top 69%
Covalent Organic Framework Applications
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Fluorenone-Based COFs with Electron-Relay Function for Highly Efficient Photocatalytic Uranium Extraction from Wastewater — Xianlin Chen, Zhongsheng Chen, et al. · ACS Applied Materials & Interfaces (2025) | TGRS Research Map | TGRS