Computational exploration of urethane formation in the presence of amine catalysts

Abstract Polyurethanes are highly versatile polymers widely used in industry to produce a broad range of materials. Their synthesis from diisocyanates and polyols under industrial conditions typically requires a catalyst—or a combination of catalysts—which plays a critical role in determining reaction efficiency and selectivity. In this study, we examined a diverse set of amine catalysts to identify key properties relevant to selecting the most suitable species for specific applications. To this end, we evaluated both structural and energetic descriptors, namely steric parameters (expressed as %Vbur) and proton affinities (PA). The results show that 1-(3-aminopropyl)imidazole (APIM) possesses the lowest calculated proton affinity (905.8 kJ mol − 1 ) among the studied compounds, indicating a greater tendency of its conjugate acid to donate a proton. In contrast, steric analysis revealed that tertiary amines generally exhibit higher buried volumes than primary and secondary amines. Notably, the differences in %VBur values between 2,2’-dimorpholinodiethylether (DMDEE) (67.0%), dimethylaminoethylether (DMAEM-1 N*) (66.4%), and N -Ethylmorpholine (NEM*) (65.8%) are relatively small; these values indicate similar steric environments, rather than a strictly greater steric effect for one catalyst over the others. However, given the small numerical differences, these catalysts can be considered to exhibit comparable steric profiles. Overall, this work provides deeper insight into how electronic and steric factors influence urethane formation and offers a rational basis for selecting appropriate catalysts tailored to specific applications.

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Journal
Scientific Reports
Published
2026-07-24
DOI
https://doi.org/10.1038/s41598-026-64017-6
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
0.00

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article

Computational exploration of urethane formation in the presence of amine catalysts

Mousumi Upadhyay Kahaly, Hadeer Q. Waleed, Béla Viskolcz, László Farkas et al.
Scientific Reports
Polymer composites and self-healing
article

Computational exploration of urethane formation in the presence of amine catalysts

Mousumi Upadhyay Kahaly, Hadeer Q. Waleed, Béla Viskolcz, László Farkas, Béla Fiser
article en

Abstract

Abstract Polyurethanes are highly versatile polymers widely used in industry to produce a broad range of materials. Their synthesis from diisocyanates and polyols under industrial conditions typically requires a catalyst—or a combination of catalysts—which plays a critical role in determining reaction efficiency and selectivity. In this study, we examined a diverse set of amine catalysts to identify key properties relevant to selecting the most suitable species for specific applications. To this end, we evaluated both structural and energetic descriptors, namely steric parameters (expressed as %Vbur) and proton affinities (PA). The results show that 1-(3-aminopropyl)imidazole (APIM) possesses the lowest calculated proton affinity (905.8 kJ mol − 1 ) among the studied compounds, indicating a greater tendency of its conjugate acid to donate a proton. In contrast, steric analysis revealed that tertiary amines generally exhibit higher buried volumes than primary and secondary amines. Notably, the differences in %VBur values between 2,2’-dimorpholinodiethylether (DMDEE) (67.0%), dimethylaminoethylether (DMAEM-1 N*) (66.4%), and N -Ethylmorpholine (NEM*) (65.8%) are relatively small; these values indicate similar steric environments, rather than a strictly greater steric effect for one catalyst over the others. However, given the small numerical differences, these catalysts can be considered to exhibit comparable steric profiles. Overall, this work provides deeper insight into how electronic and steric factors influence urethane formation and offers a rational basis for selecting appropriate catalysts tailored to specific applications.

Scientific Reports
Ministry of Science and Technology (BA), University of Miskolc (HU), University of Szeged (HU), University of Łódź (PL), ELI-HU Research and Development Non-Profit (HU), Ministry of Higher Education and Scientific Research (IQ), Ferenc Rakoczi II Transcarpathian Hungarian University (UA)
Miskolci Egyetem
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Polymer composites and self-healing
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