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Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Absorbents for Uranium Extraction From Seawater

Authors: Hui Wang; Guanbing Zhou; Yuan Xu; Zhanhu Guo; Yihui Yuan; Ning Wang;

Absorbents for Uranium Extraction From Seawater

Abstract

ABSTRACTSeawater contains approximately 4.5 billion tons of dissolved uranium, making it a significant potential source of nuclear fuel. However, the low uranium concentration, interference from competing ions, and the complex marine environment pose major challenges to the economic feasibility of uranium extraction. Among various extraction methods, adsorption is considered the most promising due to its low cost, simple operation, and strong adaptability to marine conditions. Current research primarily focuses on developing high‐performance adsorbent materials, including polymers, MXene, framework materials, and bio‐based adsorbents. To optimize adsorbent performance, efforts are directed toward enhancing adsorption selectivity, increasing functional group utilization, improving adsorption kinetics, and strengthening environmental adaptability. Researchers have explored various strategies to achieve these goals, such as ion imprinting, functional group engineering, and the application of external energy fields (e.g., light, electric fields) to enhance adsorption efficiency and uranium recovery. Although significant progress has been made in laboratory settings, real‐world marine applications still face critical challenges, including biofouling resistance, large‐scale engineering deployment, and efficient recovery. Future research efforts should focus on developing novel adsorbents, advancing external field‐assisted extraction technologies, and optimizing large‐scale engineering applications to enhance the practicality of seawater uranium extraction, ultimately making it a viable source of nuclear fuel.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
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