Advances in Green Nanotechnology for Water Treatment: A Systematic Review of Uranium and Thorium Removal from Water

This systematic review evaluates the application of green-synthesized nanoparticles for the removal of uranium (U) and thorium (Th) from contaminated water sources. The study focuses on the synthesis methods, adsorption performance, operational parameters, and environmental implications associated with these nanomaterials. Following PRISMA guidelines, studies published between 2015 and 2025 were identified through searches conducted in the Scopus and Web of Science databases. The review highlights the predominance of iron-based nanoparticles, biochar-derived materials, and biopolymer-based composites, many of which demonstrated removal efficiencies exceeding 90% and high adsorption capacities for U (VI) and Th (IV). Key factors influencing performance include solution pH, adsorbent dosage, contaminant concentration, and contact time. The review also examines adsorption mechanisms, regeneration potential, scalability challenges, and concerns related to environmental safety and nanoparticle recovery. Although the reported results demonstrate significant potential for radionuclide remediation, most studies remain limited to laboratory-scale experiments using synthetic water. This review synthesizes current knowledge, identifies existing research gaps, and discusses future directions required to support the practical implementation of green nanotechnologies for sustainable water treatment.

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Publication Details

Journal
Nanomaterials
Published
2026-06-30
DOI
https://doi.org/10.3390/nano16130807
Primary Topic
Radioactive element chemistry and processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Advances in Green Nanotechnology for Water Treatment: A Systematic Review of Uranium and Thorium Removal from Water

Laura Ferrando‐Climent, Erika Andrea Levei, Anamaria Iulia Török, Mila Pelkonen et al.
Nanomaterials
Radioactive element chemistry and processing
article

Advances in Green Nanotechnology for Water Treatment: A Systematic Review of Uranium and Thorium Removal from Water

Laura Ferrando‐Climent, Erika Andrea Levei, Anamaria Iulia Török, Mila Pelkonen, Niroshan Gajendra, Maria Cristina Vila, Beatriz Bento, Maria de Lurdes Dinis, Deniz Avsar, Simão Martins
article en

Abstract

This systematic review evaluates the application of green-synthesized nanoparticles for the removal of uranium (U) and thorium (Th) from contaminated water sources. The study focuses on the synthesis methods, adsorption performance, operational parameters, and environmental implications associated with these nanomaterials. Following PRISMA guidelines, studies published between 2015 and 2025 were identified through searches conducted in the Scopus and Web of Science databases. The review highlights the predominance of iron-based nanoparticles, biochar-derived materials, and biopolymer-based composites, many of which demonstrated removal efficiencies exceeding 90% and high adsorption capacities for U (VI) and Th (IV). Key factors influencing performance include solution pH, adsorbent dosage, contaminant concentration, and contact time. The review also examines adsorption mechanisms, regeneration potential, scalability challenges, and concerns related to environmental safety and nanoparticle recovery. Although the reported results demonstrate significant potential for radionuclide remediation, most studies remain limited to laboratory-scale experiments using synthetic water. This review synthesizes current knowledge, identifies existing research gaps, and discusses future directions required to support the practical implementation of green nanotechnologies for sustainable water treatment.

NanomaterialsVol. 16(13)
Universidade do Porto (PT), Institute for Energy Technology (NO), Research Institute for Analytical Instrumentation (RO)
Centro de Recursos Naturais e Ambiente, European Commission, HORIZON EUROPE Framework Programme, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 17%
Radioactive element chemistry and processing
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