Covalent organic and metal organic frameworks based single atom catalysts for valorisation of CO2 to value added chemicals
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15640%2F25%3A73632371" target="_blank" >RIV/61989592:15640/25:73632371 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11320/25:10503829 RIV/61989100:27640/25:10258420
Výsledek na webu
<a href="https://pubs.rsc.org/en/content/articlelanding/2025/ee/d5ee02702k" target="_blank" >https://pubs.rsc.org/en/content/articlelanding/2025/ee/d5ee02702k</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1039/d5ee02702k" target="_blank" >10.1039/d5ee02702k</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Covalent organic and metal organic frameworks based single atom catalysts for valorisation of CO2 to value added chemicals
Popis výsledku v původním jazyce
Amidst escalating global concerns over rising atmospheric CO2 levels, the capture and effective utilization of C1 and C2+ sources are crucial not only for advancing a sustainable society but also for economically viable chemical synthesis. CO2 valorisation as a chemical feedstock has garnered significant attention, driving the development of diverse catalytic systems and reaction pathways. Among them, single-atom catalysts (SACs) have emerged as a transformative class of materials owing to their maximized atom efficiency, well-defined active sites, and tunable electronic structures, enabling high catalytic selectivity and activity. When hosted on covalent-organic frameworks (COFs) and metal-organic frameworks (MOFs), SACs benefit from the structural regularity, high surface area, and chemical modularity of these porous crystalline scaffolds, further enhancing their catalytic performance and stability. This review provides an in-depth discussion of COF and MOF derived SACs for CO2 valorisation through electrochemical, photochemical, and thermochemical approaches. We have explored the key factors that influence the performance of the CO2 reduction reaction (CO2RR) to enhance both selectivity and efficiency. In addition to catalyst preparation and synthetic applications, we provide an in-depth analysis of the mechanistic aspects and theoretical simulations of the COF and MOF SACs based CO2 utilization. We explore the role of machine learning models in advancing SACs based CO2 valorisation. We also identify key challenges including SAC agglomeration, mechanistic ambiguity, selectivity control and limited long term operational stability, while discussing future perspectives (such as electronic structure tuning, multi atom site design, and machine learning-assisted catalyst discovery) in this field of broad scientific, technological and societal interest.
Název v anglickém jazyce
Covalent organic and metal organic frameworks based single atom catalysts for valorisation of CO2 to value added chemicals
Popis výsledku anglicky
Amidst escalating global concerns over rising atmospheric CO2 levels, the capture and effective utilization of C1 and C2+ sources are crucial not only for advancing a sustainable society but also for economically viable chemical synthesis. CO2 valorisation as a chemical feedstock has garnered significant attention, driving the development of diverse catalytic systems and reaction pathways. Among them, single-atom catalysts (SACs) have emerged as a transformative class of materials owing to their maximized atom efficiency, well-defined active sites, and tunable electronic structures, enabling high catalytic selectivity and activity. When hosted on covalent-organic frameworks (COFs) and metal-organic frameworks (MOFs), SACs benefit from the structural regularity, high surface area, and chemical modularity of these porous crystalline scaffolds, further enhancing their catalytic performance and stability. This review provides an in-depth discussion of COF and MOF derived SACs for CO2 valorisation through electrochemical, photochemical, and thermochemical approaches. We have explored the key factors that influence the performance of the CO2 reduction reaction (CO2RR) to enhance both selectivity and efficiency. In addition to catalyst preparation and synthetic applications, we provide an in-depth analysis of the mechanistic aspects and theoretical simulations of the COF and MOF SACs based CO2 utilization. We explore the role of machine learning models in advancing SACs based CO2 valorisation. We also identify key challenges including SAC agglomeration, mechanistic ambiguity, selectivity control and limited long term operational stability, while discussing future perspectives (such as electronic structure tuning, multi atom site design, and machine learning-assisted catalyst discovery) in this field of broad scientific, technological and societal interest.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
21001 - Nano-materials (production and properties)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Energy & Environmental Science
ISSN
1754-5692
e-ISSN
1754-5706
Svazek periodika
18
Číslo periodika v rámci svazku
22
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
81
Strana od-do
"9625–9982"
Kód UT WoS článku
001556337300001
EID výsledku v databázi Scopus
2-s2.0-105018753179