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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9228009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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