Advances in next gen aerogel materials for radionuclides cleanup: From functional design to computational insights

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27640%2F25%3A10258421" target="_blank" >RIV/61989100:27640/25:10258421 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0010854525006174?via%3Dihub#ac0005" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0010854525006174?via%3Dihub#ac0005</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ccr.2025.217047" target="_blank" >10.1016/j.ccr.2025.217047</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Advances in next gen aerogel materials for radionuclides cleanup: From functional design to computational insights

Popis výsledku v původním jazyce

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&apos;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.

Název v anglickém jazyce

Advances in next gen aerogel materials for radionuclides cleanup: From functional design to computational insights

Popis výsledku anglicky

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&apos;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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10400 - Chemical sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Coordination Chemistry Reviews

ISSN

0010-8545

e-ISSN

1873-3840

Svazek periodika

545

Číslo periodika v rámci svazku

December

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

51

Strana od-do

nestránkováno

Kód UT WoS článku

001553981300002

EID výsledku v databázi Scopus

2-s2.0-105012757877