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An Empirical Model for Predicting Biodegradation Profiles of Glycopolymers

Pollution caused by plastic materials has a great impact on the environment. The biodegradation process is a good treatment solution for common polymers and biodegradation susceptible ones. The present work introduces new insight into the biodegradation process from a mathematical point of view, as...

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Detalles Bibliográficos
Autores principales: Dragomir, Toma-Leonida, Pană, Ana-Maria, Ordodi, Valentin, Gherman, Vasile, Dumitrel, Gabriela-Alina, Nanu, Sorin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199137/
https://www.ncbi.nlm.nih.gov/pubmed/34072868
http://dx.doi.org/10.3390/polym13111819
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author Dragomir, Toma-Leonida
Pană, Ana-Maria
Ordodi, Valentin
Gherman, Vasile
Dumitrel, Gabriela-Alina
Nanu, Sorin
author_facet Dragomir, Toma-Leonida
Pană, Ana-Maria
Ordodi, Valentin
Gherman, Vasile
Dumitrel, Gabriela-Alina
Nanu, Sorin
author_sort Dragomir, Toma-Leonida
collection PubMed
description Pollution caused by plastic materials has a great impact on the environment. The biodegradation process is a good treatment solution for common polymers and biodegradation susceptible ones. The present work introduces new insight into the biodegradation process from a mathematical point of view, as it envisions a new empirical model for this complex process. The model is an exponential function with two different time constants and a time delay, which follows the weight loss profile of the polymer during the biodegradation process. Moreover, this function can be generated as the output variable of a dynamic exogenous system described through state equations. The newly developed models displayed a good fit against the experimental data, as shown by statistical indicators. In addition, the new empirical model was compared to kinetics models available in the literature and the correlation coefficients were closest to 1 for the new empirical model in all discussed cases. The mathematical operations were performed in the MATLAB Simulink environment.
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spelling pubmed-81991372021-06-14 An Empirical Model for Predicting Biodegradation Profiles of Glycopolymers Dragomir, Toma-Leonida Pană, Ana-Maria Ordodi, Valentin Gherman, Vasile Dumitrel, Gabriela-Alina Nanu, Sorin Polymers (Basel) Article Pollution caused by plastic materials has a great impact on the environment. The biodegradation process is a good treatment solution for common polymers and biodegradation susceptible ones. The present work introduces new insight into the biodegradation process from a mathematical point of view, as it envisions a new empirical model for this complex process. The model is an exponential function with two different time constants and a time delay, which follows the weight loss profile of the polymer during the biodegradation process. Moreover, this function can be generated as the output variable of a dynamic exogenous system described through state equations. The newly developed models displayed a good fit against the experimental data, as shown by statistical indicators. In addition, the new empirical model was compared to kinetics models available in the literature and the correlation coefficients were closest to 1 for the new empirical model in all discussed cases. The mathematical operations were performed in the MATLAB Simulink environment. MDPI 2021-05-31 /pmc/articles/PMC8199137/ /pubmed/34072868 http://dx.doi.org/10.3390/polym13111819 Text en © 2021 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
Dragomir, Toma-Leonida
Pană, Ana-Maria
Ordodi, Valentin
Gherman, Vasile
Dumitrel, Gabriela-Alina
Nanu, Sorin
An Empirical Model for Predicting Biodegradation Profiles of Glycopolymers
title An Empirical Model for Predicting Biodegradation Profiles of Glycopolymers
title_full An Empirical Model for Predicting Biodegradation Profiles of Glycopolymers
title_fullStr An Empirical Model for Predicting Biodegradation Profiles of Glycopolymers
title_full_unstemmed An Empirical Model for Predicting Biodegradation Profiles of Glycopolymers
title_short An Empirical Model for Predicting Biodegradation Profiles of Glycopolymers
title_sort empirical model for predicting biodegradation profiles of glycopolymers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199137/
https://www.ncbi.nlm.nih.gov/pubmed/34072868
http://dx.doi.org/10.3390/polym13111819
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