- Gifty Dudzilah1; Elijah Asamoah Amoateng2; Emmanuel Asante3; Mariam Iyabo Adeoba4
- DOI: 10.5281/zenodo.19857543
- SSR Journal of Engineering and Technology (SSRJET)
Background:
Uranium contamination in water from mining, nuclear activities, and wastewater
poses serious risks to human health and ecosystems. Traditional techniques lack
selectivity in complex matrices, and are not readily scalable.
Aim: This
review focuses on advanced materials and processes to remove uranium in water
with special focus on mechanism, selectivity and scale. It sheds light on the
latest advances in MOFs, COFs, graphene oxide, MXenes, amidoxime-based
hydrogels and hierarchical materials.
Methodology: A
thorough narrative review was performed through the synthesis of recent
peer-reviewed studies (2024-2026) of databases such as Web of Science, Scopus,
and Google scholar. Thematic analysis of key studies on material performance,
characterization methods (XPS, FTIR, EXAFS), real-water tests, and pilot
deployments was performed.
Findings:
Advanced materials and processes for uranium removal from water demonstrate
that high adsorption capacities (up to 1200 mg/g under laboratory conditions)
are primarily governed by coordination/chelation and ion-exchange mechanisms,
which underpin both selectivity and uptake efficiency. Materials such as
hierarchical triple-channel polyamidoxime hydrogels exhibit notable
performance, achieving 14.69 mg/g in natural seawater after 35 days without
external energy input, and up to 43.89 mg/g in concentrated brine using
PVPA–PAO composites. These systems show strong selectivity for uranium over
competing ions and retain performance over multiple reuse cycles (≥5) even as
scalability remains a challenge.
Conclusion: Uranium removal and seawater extraction have transformative potential in advanced materials and processes to sustain cleaner water and sustainable nuclear energy. The practical challenges to be addressed using structural engineering and life-cycle assessment will be paramount to large-scale implementation.

