Insight into kinetic and diffusion phenomena in solvent-free poly(hydroxy-urethane) synthesis through applied step-growth modeling

Understanding the factors which determine the course of solvent-free cyclic carbonate aminolysis is critical for advancing the development of poly(hydroxy-urethane) (PHU) systems as sustainable alternatives to conventional, isocyanate-derived materials. In this work, we present an empirical model supporting the study of temperature- and conversion-dependent phenomena that influence PHU formation from oligomeric poly(propylene glycol)-based-based bis(cyclic carbonate) and short-chain 4,7,10-trioxa-1,13-tridecanediamine. For this purpose, the uncatalyzed synthesis experiments were conducted at 80-140 °C in a plate-plate rheometer, continuously monitoring the reaction in a melt through real-time viscosity measurements. Subsequent spectroscopic characterization verified that the dynamic rheological response can be ascribed to the formation of PHU materials free of side products. The resulting dataset was linked to molar mass evolution through a supplementary viscosity model and used to parameterize a step-growth polymerization model for cyclic carbonate aminolysis, integrating both mixing limitations at early stages and subsequent mass transfer phenomena. The model accurately reproduced experimental data in the low-temperature regime, demonstrating that linear step-growth with diffusion limitation adequately describes the reaction under given conditions and allows identification of physical effects causing deviations in predictions at elevated temperatures. These results highlight that, beyond reaction kinetics, diffusion phenomena critically shape PHU polymerization behavior, determining temporal chain extension progress. Consequently, the proposed modeling framework enables the deconvolution of distinct reaction regimes, providing crucial insight for optimizing PHU synthesis. • Real-time viscosity monitoring during poly(hydroxy-urethane) rheo-polymerization tracks chain growth • Step-growth model integrates mixing and diffusion phenomena in solvent-free poly(hydroxy-urethane) synthesis • Diffusion limits dominate reaction kinetics at moderate temperatures and with increasing conversion • Diamine loss at elevated temperatures explains deviations from linear step-growth predictions • Framework enables kinetic-diffusion deconvolution for poly(hydroxy-urethane) synthesis

Authors

Institutions

Publication Details

Journal
Polymer Testing
Published
2026-01-02
DOI
https://doi.org/10.1016/j.polymertesting.2026.109084
Primary Topic
Carbon dioxide utilization in catalysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Insight into kinetic and diffusion phenomena in solvent-free poly(hydroxy-urethane) synthesis through applied step-growth modeling

Aleksandra Marta Fage, Robert Brüll, Dominik Wołosz, Subrajeet Deshmukh et al.
Polymer Testing
Carbon dioxide utilization in catalysis
article

Insight into kinetic and diffusion phenomena in solvent-free poly(hydroxy-urethane) synthesis through applied step-growth modeling

Aleksandra Marta Fage, Robert Brüll, Dominik Wołosz, Subrajeet Deshmukh, Felix Brabender, Weronika Małgorzata Milanowska, Ulrich Förter-Barth, Paweł Grzegorz Parzuchowski, Sergio Lucia
article en

Abstract

Understanding the factors which determine the course of solvent-free cyclic carbonate aminolysis is critical for advancing the development of poly(hydroxy-urethane) (PHU) systems as sustainable alternatives to conventional, isocyanate-derived materials. In this work, we present an empirical model supporting the study of temperature- and conversion-dependent phenomena that influence PHU formation from oligomeric poly(propylene glycol)-based-based bis(cyclic carbonate) and short-chain 4,7,10-trioxa-1,13-tridecanediamine. For this purpose, the uncatalyzed synthesis experiments were conducted at 80-140 °C in a plate-plate rheometer, continuously monitoring the reaction in a melt through real-time viscosity measurements. Subsequent spectroscopic characterization verified that the dynamic rheological response can be ascribed to the formation of PHU materials free of side products. The resulting dataset was linked to molar mass evolution through a supplementary viscosity model and used to parameterize a step-growth polymerization model for cyclic carbonate aminolysis, integrating both mixing limitations at early stages and subsequent mass transfer phenomena. The model accurately reproduced experimental data in the low-temperature regime, demonstrating that linear step-growth with diffusion limitation adequately describes the reaction under given conditions and allows identification of physical effects causing deviations in predictions at elevated temperatures. These results highlight that, beyond reaction kinetics, diffusion phenomena critically shape PHU polymerization behavior, determining temporal chain extension progress. Consequently, the proposed modeling framework enables the deconvolution of distinct reaction regimes, providing crucial insight for optimizing PHU synthesis. • Real-time viscosity monitoring during poly(hydroxy-urethane) rheo-polymerization tracks chain growth • Step-growth model integrates mixing and diffusion phenomena in solvent-free poly(hydroxy-urethane) synthesis • Diffusion limits dominate reaction kinetics at moderate temperatures and with increasing conversion • Diamine loss at elevated temperatures explains deviations from linear step-growth predictions • Framework enables kinetic-diffusion deconvolution for poly(hydroxy-urethane) synthesis

Polymer TestingVol. 155
Warsaw University of Technology (PL), TU Dortmund University (DE), Fraunhofer Institute for Structural Durability and System Reliability (DE), Fraunhofer Institute for Chemical Technology (DE)
Openalex Percentile: Top 98%
Carbon dioxide utilization in catalysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.