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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received October 29, 2025
Revised January 4, 2026
Accepted January 20, 2026
Available online June 25, 2026
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Advances in Coordination Chemistry and Molecular Design of Ligands for Nuclear Fuel Resources: Efficient Uranium Extraction from Seawater — A Review

Nuclear Facility Cleanup Technology Division, Korea Atomic Energy Research Institute
sihnyh@kaeri.re.kr
Korean Journal of Chemical Engineering, June 2026, 43(7), 1903-1917(15)
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.

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