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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Polymers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4360/13/11/1819 |
| _version_ | 1797531833174327296 |
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| author | Toma-Leonida Dragomir Ana-Maria Pană Valentin Ordodi Vasile Gherman Gabriela-Alina Dumitrel Sorin Nanu |
| author_facet | Toma-Leonida Dragomir Ana-Maria Pană Valentin Ordodi Vasile Gherman Gabriela-Alina Dumitrel Sorin Nanu |
| author_sort | Toma-Leonida Dragomir |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T10:50:24Z |
| format | Article |
| id | doaj.art-0c0aeeec34fd4197ba89da4a5a8116e3 |
| institution | Directory Open Access Journal |
| issn | 2073-4360 |
| language | English |
| last_indexed | 2024-03-10T10:50:24Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polymers |
| spelling | doaj.art-0c0aeeec34fd4197ba89da4a5a8116e32023-11-21T22:14:50ZengMDPI AGPolymers2073-43602021-05-011311181910.3390/polym13111819An Empirical Model for Predicting Biodegradation Profiles of GlycopolymersToma-Leonida Dragomir0Ana-Maria Pană1Valentin Ordodi2Vasile Gherman3Gabriela-Alina Dumitrel4Sorin Nanu5Faculty of Automation and Computing, Politehnica University Timişoara, 2 Vasile Parvan bvd., 300223 Timişoara, RomaniaFaculty of Industrial Chemistry and Environmental Engineering, Politehnica University Timişoara, 6 Vasile Parvan bvd., 300223 Timişoara, RomaniaFaculty of Industrial Chemistry and Environmental Engineering, Politehnica University Timişoara, 6 Vasile Parvan bvd., 300223 Timişoara, RomaniaFaculty of Civil Engineering, Politehnica University Timişoara, 2 Traian Lalescu str., 300223 Timişoara, RomaniaFaculty of Industrial Chemistry and Environmental Engineering, Politehnica University Timişoara, 6 Vasile Parvan bvd., 300223 Timişoara, RomaniaFaculty of Automation and Computing, Politehnica University Timişoara, 2 Vasile Parvan bvd., 300223 Timişoara, RomaniaPollution 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.https://www.mdpi.com/2073-4360/13/11/1819glycopolymer biodegradationempirical modelmodel accuracydynamic nonlinear system |
| spellingShingle | Toma-Leonida Dragomir Ana-Maria Pană Valentin Ordodi Vasile Gherman Gabriela-Alina Dumitrel Sorin Nanu An Empirical Model for Predicting Biodegradation Profiles of Glycopolymers Polymers glycopolymer biodegradation empirical model model accuracy dynamic nonlinear system |
| 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 | glycopolymer biodegradation empirical model model accuracy dynamic nonlinear system |
| url | https://www.mdpi.com/2073-4360/13/11/1819 |
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