Recent Advances in Material-Based Platforms for Rapid Uranyl Detection and Removal

Nuclear energy is a key low-carbon source for global carbon neutrality, yet its rapid expansion has intensified uranium mining, fuel processing, and nuclear wastewater discharge, raising concerns about the environmental and health risks associated with uranyl (UO22+) contamination. Reliable monitoring and effective removal of uranium contamination are therefore essential for ensuring environmental safety and conducting accurate risk assessment. Advanced material-based sensors have emerged as promising solutions, owing to their high sensitivity, selectivity, portability, and rapid response. Recent advances feature platforms based on noble metals, quantum dots, metal–organic frameworks, covalent organic frameworks, and nanocomposites, which enable efficient uranyl removal and detection through optical, electrochemical, and multifunctional strategies. The integration of artificial intelligence for spectral interpretation and recognition is also discussed, highlighting its potential to overcome challenges in complex water matrices. This review further outlines perspectives on sustainable, field-deployable platforms for uranyl detection and removal, aiming to safeguard environmental health and support effective nuclear wastewater management.

Institutions

Publication Details

Journal
Global Environment Science
Published
2025-11-24
DOI
https://doi.org/10.53941/ges.2025.100014
Citations
1
Primary Topic
Radioactive element chemistry and processing
Type
article
Field-Weighted Citation Impact
0.54
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recent Advances in Material-Based Platforms for Rapid Uranyl Detection and Removal

1 citations
Global Environment Science
Radioactive element chemistry and processing
0.54
article

Recent Advances in Material-Based Platforms for Rapid Uranyl Detection and Removal

article en
1 citations

Abstract

Nuclear energy is a key low-carbon source for global carbon neutrality, yet its rapid expansion has intensified uranium mining, fuel processing, and nuclear wastewater discharge, raising concerns about the environmental and health risks associated with uranyl (UO22+) contamination. Reliable monitoring and effective removal of uranium contamination are therefore essential for ensuring environmental safety and conducting accurate risk assessment. Advanced material-based sensors have emerged as promising solutions, owing to their high sensitivity, selectivity, portability, and rapid response. Recent advances feature platforms based on noble metals, quantum dots, metal–organic frameworks, covalent organic frameworks, and nanocomposites, which enable efficient uranyl removal and detection through optical, electrochemical, and multifunctional strategies. The integration of artificial intelligence for spectral interpretation and recognition is also discussed, highlighting its potential to overcome challenges in complex water matrices. This review further outlines perspectives on sustainable, field-deployable platforms for uranyl detection and removal, aiming to safeguard environmental health and support effective nuclear wastewater management.

Global Environment ScienceVol. 1(2)
North China Electric Power University (CN), Guangdong University of Petrochemical Technology (CN), Weifang University (CN)
Openalex Percentile: Top 27%
Radioactive element chemistry and processing
0.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.