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Microplastic Index—How to Predict Microplastics Formation?

The presence of microplastics in environmental compartments is generally recognized as a (potential) health risk. Many papers have been published on the abundance of microplastics at various locations around the globe, but only limited knowledge is available on possible mitigation routes. One of the...

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Autores principales: Boersma, Arjen, Grigoriadi, Kalouda, Nooijens, Merel G. A., Henke, Sieger, Kooter, Ingeborg M., Parker, Luke A., Dortmans, Ardi, Urbanus, Jan Harm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181052/
https://www.ncbi.nlm.nih.gov/pubmed/37177331
http://dx.doi.org/10.3390/polym15092185
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author Boersma, Arjen
Grigoriadi, Kalouda
Nooijens, Merel G. A.
Henke, Sieger
Kooter, Ingeborg M.
Parker, Luke A.
Dortmans, Ardi
Urbanus, Jan Harm
author_facet Boersma, Arjen
Grigoriadi, Kalouda
Nooijens, Merel G. A.
Henke, Sieger
Kooter, Ingeborg M.
Parker, Luke A.
Dortmans, Ardi
Urbanus, Jan Harm
author_sort Boersma, Arjen
collection PubMed
description The presence of microplastics in environmental compartments is generally recognized as a (potential) health risk. Many papers have been published on the abundance of microplastics at various locations around the globe, but only limited knowledge is available on possible mitigation routes. One of the mitigation routes is based on the choice of plastic materials used for products that may unintentionally end up in the environment. As a first approach, this paper presents a method to calculate the tendency of polymers to form microplastics, based on their mechanical and physical properties. A MicroPlastic Index (MPI) that correlates the microplastic formation to polymer properties is defined for both impact and wear of polymers via a theoretical particle size and the energy required to form these particles. A first comparison between calculated and experimental particle size is included. The MPI for impact and wear follow the same trend. Finally, these MPIs are correlated to the respective abundance of the microplastics in the environment, corrected for global production of the corresponding polymers: the higher the MPI, the more microplastics are found in the environment. Thus, the MPI can be used as a basis for choice or redesign of polymers to reduce microplastic formation.
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spelling pubmed-101810522023-05-13 Microplastic Index—How to Predict Microplastics Formation? Boersma, Arjen Grigoriadi, Kalouda Nooijens, Merel G. A. Henke, Sieger Kooter, Ingeborg M. Parker, Luke A. Dortmans, Ardi Urbanus, Jan Harm Polymers (Basel) Article The presence of microplastics in environmental compartments is generally recognized as a (potential) health risk. Many papers have been published on the abundance of microplastics at various locations around the globe, but only limited knowledge is available on possible mitigation routes. One of the mitigation routes is based on the choice of plastic materials used for products that may unintentionally end up in the environment. As a first approach, this paper presents a method to calculate the tendency of polymers to form microplastics, based on their mechanical and physical properties. A MicroPlastic Index (MPI) that correlates the microplastic formation to polymer properties is defined for both impact and wear of polymers via a theoretical particle size and the energy required to form these particles. A first comparison between calculated and experimental particle size is included. The MPI for impact and wear follow the same trend. Finally, these MPIs are correlated to the respective abundance of the microplastics in the environment, corrected for global production of the corresponding polymers: the higher the MPI, the more microplastics are found in the environment. Thus, the MPI can be used as a basis for choice or redesign of polymers to reduce microplastic formation. MDPI 2023-05-04 /pmc/articles/PMC10181052/ /pubmed/37177331 http://dx.doi.org/10.3390/polym15092185 Text en © 2023 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
Boersma, Arjen
Grigoriadi, Kalouda
Nooijens, Merel G. A.
Henke, Sieger
Kooter, Ingeborg M.
Parker, Luke A.
Dortmans, Ardi
Urbanus, Jan Harm
Microplastic Index—How to Predict Microplastics Formation?
title Microplastic Index—How to Predict Microplastics Formation?
title_full Microplastic Index—How to Predict Microplastics Formation?
title_fullStr Microplastic Index—How to Predict Microplastics Formation?
title_full_unstemmed Microplastic Index—How to Predict Microplastics Formation?
title_short Microplastic Index—How to Predict Microplastics Formation?
title_sort microplastic index—how to predict microplastics formation?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181052/
https://www.ncbi.nlm.nih.gov/pubmed/37177331
http://dx.doi.org/10.3390/polym15092185
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