Coordination‐Induced Magnetism Strategy for Highly Selective and Efficient Uranium Separation
Abstract: Highly efficient separation of dispersed uranium is important for the sustainable development of nuclear industry, and adsorption is the most recognized approach. However, there are many coexisting interfering metal ions that compete with uranyl ion for the chelating ligands in the adsorbents and lead to low separation selectivity and efficiency. Herein, a coordination‐induced magnetism strategy is presented for the separation of uranium based on the conversion of diamagnetic cyanoferrocene (Fc‐CN) nanocrystals to uranium‐containing magnetic recoverable ferromagnetic aggregates. Different from previous adsorption strategies, this strategy combines the mechanisms of photocatalytic uranium enrichment and chemical uranium adsorption. Under light irradiation, electron of Fe (II) in Fc‐CN is excited and transfers to uranyl ion via the cyano group to form tight coordination bond between N atom in cyano group and uranium. This phenomenon is unique for uranyl ion, and thus, a high uranium removal rate of 97.98% is achieved in simulated nuclear wastewater with the presence of tremendous interfering ions, proving its highly selective and efficient uranium separation performance. The ability to form highly stable magnetic aggregates via photoinduced interaction between Fc‐CN and uranium enriches the understanding on the chemical properties of Fc‐CN and uranium.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Coordination‐Induced Magnetism Strategy for Highly Selective and Efficient Uranium Separation ; day:04 ; month:11 ; year:2024 ; extent:9
Advanced science ; (04.11.2024) (gesamt 9)
- Creator
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Zhao, Shilei
Feng, Tiantian
Zhang, Jiacheng
Cao, Meng
Feng, Lijuan
Ma, Yue
Liu, Tao
Yuan, Yihui
Wang, Ning
- DOI
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10.1002/advs.202408642
- URN
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urn:nbn:de:101:1-2411041332567.325994777040
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:22 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhao, Shilei
- Feng, Tiantian
- Zhang, Jiacheng
- Cao, Meng
- Feng, Lijuan
- Ma, Yue
- Liu, Tao
- Yuan, Yihui
- Wang, Ning
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