Overall
- Language
- English
- Conflict of Interest
- In relation to this article, we declare that there is no conflict of interest.
- Publication history
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Received October 29, 2025
Revised January 4, 2026
Accepted January 20, 2026
Available online June 25, 2026
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Most Cited
Advances in Coordination Chemistry and Molecular Design of Ligands for Nuclear Fuel Resources: Efficient Uranium Extraction from Seawater — A Review
https://doi.org/
Abstract
Uranium extraction from seawater is a promising strategy to secure sustainable nuclear fuel resources, yet it faces major
challenges due to the extremely low uranium concentration (≈3.3 ppb), high ionic strength, and strong stability of the
uranyl-tricarbonate complex [UO2(CO3)3]
4−. This review summarizes recent advances in ligand design for selective uranyl
(UO2
2+) capture, emphasizing the correlation between electronic structure, coordination geometry, and extraction performance.
Quantum-chemical and spectroscopic studies have established that the η2
(N, O) coordination mode in amidoxime
(AO) ligands forms mixed σ–π hybrid covalent bonds with uranyl 5f/6d orbitals, weakening axial U=O bonds and
strengthening equatorial interactions. Rational molecular strategies include (i) electron-density modulation, (ii) internal
hydrogen bonding for geometric fixation, (iii) proton-relay-assisted carbonate dissociation, and (iv) N-alkylation for U/V
selectivity. Beyond AO, ligands such as Saldian (N3O2) and phenanthroline dicarboxylates employ rigid π frameworks
and cooperative chelation to achieve high stability (log β≈28), while biomolecule-derived systems like SUP proteins and
DNA hydrogels exhibit femtomolar uranyl affinity. Six design parameters—including electron-density tuning, internal
hydrogen bonding, proton-relay activation, coordination directionality, π-resonance control, and surface optimization—
now define a predictive paradigm for uranyl–ligand coordination. The integration of density-functional theory, advanced
spectroscopy, and machine-learning-driven inverse design enables rapid identification of high-affinity, seawater-resilient
ligands and guides the creation of electronically tuned materials for next-generation, durable, and sustainable uraniumextraction
technologies.

