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Molecular Recognition between Carbon Dioxide and Biodegradable Hydrogel Models: A Density Functional Theory (DFT) Investigation

Authors :
Domingo Cesar Carrascal-Hernandez
Maximiliano Mendez-Lopez
Daniel Insuasty
Samira García-Freites
Marco Sanjuan
Edgar Márquez
Source :
Gels, Vol 10, Iss 6, p 386 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

In this research, we explore the potential of employing density functional theory (DFT) for the design of biodegradable hydrogels aimed at capturing carbon dioxide (CO2) and mitigating greenhouse gas emissions. We employed biodegradable hydrogel models, including polyethylene glycol, polyvinylpyrrolidone, chitosan, and poly-2-hydroxymethacrylate. The complexation process between the hydrogel and CO2 was thoroughly investigated at the ωB97X-D/6-311G(2d,p) theoretical level. Our findings reveal a strong affinity between the hydrogel models and CO2, with binding energies ranging from −4.5 to −6.5 kcal/mol, indicative of physisorption processes. The absorption order observed was as follows: chitosan > PVP > HEAC > PEG. Additionally, thermodynamic parameters substantiated this sequence and even suggested that these complexes remain stable up to 160 °C. Consequently, these polymers present a promising avenue for crafting novel materials for CO2 capture applications. Nonetheless, further research is warranted to optimize the design of these materials and assess their performance across various environmental conditions.

Details

Language :
English
ISSN :
23102861
Volume :
10
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Gels
Publication Type :
Academic Journal
Accession number :
edsdoj.3dd36667605f4584a2148d82991b4214
Document Type :
article
Full Text :
https://doi.org/10.3390/gels10060386