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Terpene Coordinative Chain Transfer Polymerization: Understanding the Process through Kinetic Modeling

The interest in the Coordinative Chain Transfer Polymerization (CCTP) of a family of naturally occurring hydrocarbon monomers, namely terpenes, for the production of high-performance rubbers is increasing year by year. In this work, the synthesis of poly(β-myrcene) via CCTP is introduced, using neod...

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Autores principales: Ubaldo-Alarcón, Andrés, Soriano-Corral, Florentino, Córdova, Teresa, Zapata-González, Iván, Díaz-de-León, Ramón
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228009/
https://www.ncbi.nlm.nih.gov/pubmed/35745928
http://dx.doi.org/10.3390/polym14122352
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author Ubaldo-Alarcón, Andrés
Soriano-Corral, Florentino
Córdova, Teresa
Zapata-González, Iván
Díaz-de-León, Ramón
author_facet Ubaldo-Alarcón, Andrés
Soriano-Corral, Florentino
Córdova, Teresa
Zapata-González, Iván
Díaz-de-León, Ramón
author_sort Ubaldo-Alarcón, Andrés
collection PubMed
description The interest in the Coordinative Chain Transfer Polymerization (CCTP) of a family of naturally occurring hydrocarbon monomers, namely terpenes, for the production of high-performance rubbers is increasing year by year. In this work, the synthesis of poly(β-myrcene) via CCTP is introduced, using neodymium versatate (NdV(3)), diisobutylaluminum hydrade (DIBAH) as the catalytic system and dimethyldichlorosilane (Me(2)SiCl(2)) as the activator. A bimodal distribution in the GPC signal reveals the presence of two populations at low conversions, attributable to dormants (arising from reversible chain transfer reactions) and dead chains (arising from termination and irreversible chain transfer reactions); a unimodal distribution is generated at medium and high conversions, corresponding to the dominant species, the dormant chains. Additionally, a mathematical kinetic model was developed based on the Method of Moments to study a set of selected experiments: ([β-myrcene](0):[NdV(3)](0):[DIBAH](0):[Me(2)SiCl(2)](0) = 660:1:2:1, 885:1:2:1, and 533:1:2:1). In order to estimate the kinetic rate constant of the systems, a minimization of the sum of squared errors (SSE) between the model predicted values and the experimental measurements was carried out, resulting in an excellent fit. A set of the Arrhenius parameters were estimated for the ratio [β-myrcene](0):[NdV(3)](0):[DIBAH](0):[Me(2)SiCl(2)](0) = 660:1:2:1 in a temperature range between 50 to 70 °C. While the end-group functionality (EGF) was predominantly preserved as the ratio [β-myrcene](0):[NdV(3)](0) was decreased, higher catalytic activity was obtained with a high ratio.
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spelling pubmed-92280092022-06-25 Terpene Coordinative Chain Transfer Polymerization: Understanding the Process through Kinetic Modeling Ubaldo-Alarcón, Andrés Soriano-Corral, Florentino Córdova, Teresa Zapata-González, Iván Díaz-de-León, Ramón Polymers (Basel) Article The interest in the Coordinative Chain Transfer Polymerization (CCTP) of a family of naturally occurring hydrocarbon monomers, namely terpenes, for the production of high-performance rubbers is increasing year by year. In this work, the synthesis of poly(β-myrcene) via CCTP is introduced, using neodymium versatate (NdV(3)), diisobutylaluminum hydrade (DIBAH) as the catalytic system and dimethyldichlorosilane (Me(2)SiCl(2)) as the activator. A bimodal distribution in the GPC signal reveals the presence of two populations at low conversions, attributable to dormants (arising from reversible chain transfer reactions) and dead chains (arising from termination and irreversible chain transfer reactions); a unimodal distribution is generated at medium and high conversions, corresponding to the dominant species, the dormant chains. Additionally, a mathematical kinetic model was developed based on the Method of Moments to study a set of selected experiments: ([β-myrcene](0):[NdV(3)](0):[DIBAH](0):[Me(2)SiCl(2)](0) = 660:1:2:1, 885:1:2:1, and 533:1:2:1). In order to estimate the kinetic rate constant of the systems, a minimization of the sum of squared errors (SSE) between the model predicted values and the experimental measurements was carried out, resulting in an excellent fit. A set of the Arrhenius parameters were estimated for the ratio [β-myrcene](0):[NdV(3)](0):[DIBAH](0):[Me(2)SiCl(2)](0) = 660:1:2:1 in a temperature range between 50 to 70 °C. While the end-group functionality (EGF) was predominantly preserved as the ratio [β-myrcene](0):[NdV(3)](0) was decreased, higher catalytic activity was obtained with a high ratio. MDPI 2022-06-10 /pmc/articles/PMC9228009/ /pubmed/35745928 http://dx.doi.org/10.3390/polym14122352 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ubaldo-Alarcón, Andrés
Soriano-Corral, Florentino
Córdova, Teresa
Zapata-González, Iván
Díaz-de-León, Ramón
Terpene Coordinative Chain Transfer Polymerization: Understanding the Process through Kinetic Modeling
title Terpene Coordinative Chain Transfer Polymerization: Understanding the Process through Kinetic Modeling
title_full Terpene Coordinative Chain Transfer Polymerization: Understanding the Process through Kinetic Modeling
title_fullStr Terpene Coordinative Chain Transfer Polymerization: Understanding the Process through Kinetic Modeling
title_full_unstemmed Terpene Coordinative Chain Transfer Polymerization: Understanding the Process through Kinetic Modeling
title_short Terpene Coordinative Chain Transfer Polymerization: Understanding the Process through Kinetic Modeling
title_sort terpene coordinative chain transfer polymerization: understanding the process through kinetic modeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228009/
https://www.ncbi.nlm.nih.gov/pubmed/35745928
http://dx.doi.org/10.3390/polym14122352
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