TY - JOUR
T1 - Advances in next gen aerogel materials for radionuclides cleanup
T2 - From functional design to computational insights
AU - Yuvaraja, Gutha
AU - Wen, Chun Ta
AU - Subbaiah, Munagapati Venkata
AU - Wen, Jet Chau
AU - Venkateswarlu, Sada
AU - Yarramuthi, Vijaya
AU - Lin, Kun Yi Andrew
AU - Kim, Dong Su
AU - Keerthi, K.
AU - Jyothi, N. V.V.
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/12/15
Y1 - 2025/12/15
N2 - Radionuclide pollution from both anthropogenic and natural sources presents a serious threat to human health and environmental safety. Aerogel-based adsorbents have become promising options for cleaning up radionuclides due to huge surface area, with different pore sizes, lightweight, and can be chemically adjusted. However, so far, there hasn't been a complete review that brings together and examines how aerogel materials especially modified and mixed types can specifically capture radionuclides like uranium (U), thorium (Th), strontium (Sr), cesium (Cs), and iodine-131 [131I]. This review highlights recent advances in the development of aerogels, including silica, carbon, polymeric, metal oxide, hybrid, MXene, and porous framework-derived materials such as metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) for efficient capture of hazardous radionuclides. The influence of critical parameters such as pH, temperature, and surface characteristics on adsorption performance is systematically discussed. Advanced characterization methods such as X-ray photoelectron spectroscopy (XPS), X-ray absorption spectroscopy (XAS), and Brunauer-Emmett-Teller (BET) surface area analysis to explain how aerogel radionuclide complexes interact at the electronic level, how they bond, and how stable their structure is explored. Additional insights from density functional theory (DFT) and new machine learning (ML) models help predict binding energies, charge transfer, and thermodynamic feasibility, speeding up the smart design of effective adsorbents. This review provides a detailed resource for researchers in coordination chemistry, environmental cleanup, materials science, and nanotechnology, and it aims to encourage new ideas in radionuclide adsorption technologies while offering a full guide for making new aerogel materials that can capture radionuclides.
AB - Radionuclide pollution from both anthropogenic and natural sources presents a serious threat to human health and environmental safety. Aerogel-based adsorbents have become promising options for cleaning up radionuclides due to huge surface area, with different pore sizes, lightweight, and can be chemically adjusted. However, so far, there hasn't been a complete review that brings together and examines how aerogel materials especially modified and mixed types can specifically capture radionuclides like uranium (U), thorium (Th), strontium (Sr), cesium (Cs), and iodine-131 [131I]. This review highlights recent advances in the development of aerogels, including silica, carbon, polymeric, metal oxide, hybrid, MXene, and porous framework-derived materials such as metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) for efficient capture of hazardous radionuclides. The influence of critical parameters such as pH, temperature, and surface characteristics on adsorption performance is systematically discussed. Advanced characterization methods such as X-ray photoelectron spectroscopy (XPS), X-ray absorption spectroscopy (XAS), and Brunauer-Emmett-Teller (BET) surface area analysis to explain how aerogel radionuclide complexes interact at the electronic level, how they bond, and how stable their structure is explored. Additional insights from density functional theory (DFT) and new machine learning (ML) models help predict binding energies, charge transfer, and thermodynamic feasibility, speeding up the smart design of effective adsorbents. This review provides a detailed resource for researchers in coordination chemistry, environmental cleanup, materials science, and nanotechnology, and it aims to encourage new ideas in radionuclide adsorption technologies while offering a full guide for making new aerogel materials that can capture radionuclides.
KW - Adsorption
KW - Aerogel compounds
KW - DFT studies
KW - Machine learning model
KW - Radionuclides
UR - https://www.scopus.com/pages/publications/105012757877
U2 - 10.1016/j.ccr.2025.217047
DO - 10.1016/j.ccr.2025.217047
M3 - Review article
AN - SCOPUS:105012757877
SN - 0010-8545
VL - 545
JO - Coordination Chemistry Reviews
JF - Coordination Chemistry Reviews
M1 - 217047
ER -