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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Main Authors: Arjen Boersma, Kalouda Grigoriadi, Merel G. A. Nooijens, Sieger Henke, Ingeborg M. Kooter, Luke A. Parker, Ardi Dortmans, Jan Harm Urbanus
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Polymers
Subjects:
Online Access:https://www.mdpi.com/2073-4360/15/9/2185
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author Arjen Boersma
Kalouda Grigoriadi
Merel G. A. Nooijens
Sieger Henke
Ingeborg M. Kooter
Luke A. Parker
Ardi Dortmans
Jan Harm Urbanus
author_facet Arjen Boersma
Kalouda Grigoriadi
Merel G. A. Nooijens
Sieger Henke
Ingeborg M. Kooter
Luke A. Parker
Ardi Dortmans
Jan Harm Urbanus
author_sort Arjen Boersma
collection DOAJ
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 doaj.art-8c39130d46fe48fa867dafd46ac936672023-11-17T23:36:21ZengMDPI AGPolymers2073-43602023-05-01159218510.3390/polym15092185Microplastic Index—How to Predict Microplastics Formation?Arjen Boersma0Kalouda Grigoriadi1Merel G. A. Nooijens2Sieger Henke3Ingeborg M. Kooter4Luke A. Parker5Ardi Dortmans6Jan Harm Urbanus7TNO, HTC 25, 5656 AE Eindhoven, The NetherlandsTNO, HTC 25, 5656 AE Eindhoven, The NetherlandsTNO, HTC 25, 5656 AE Eindhoven, The NetherlandsTNO, Princetonlaan 6-8, 3584 CB Utrecht, The NetherlandsTNO, Princetonlaan 6-8, 3584 CB Utrecht, The NetherlandsTNO, Princetonlaan 6-8, 3584 CB Utrecht, The NetherlandsTNO, Princetonlaan 6-8, 3584 CB Utrecht, The NetherlandsTNO, Princetonlaan 6-8, 3584 CB Utrecht, The NetherlandsThe 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.https://www.mdpi.com/2073-4360/15/9/2185microplasticspolymer propertiesimpactwearMPI
spellingShingle Arjen Boersma
Kalouda Grigoriadi
Merel G. A. Nooijens
Sieger Henke
Ingeborg M. Kooter
Luke A. Parker
Ardi Dortmans
Jan Harm Urbanus
Microplastic Index—How to Predict Microplastics Formation?
Polymers
microplastics
polymer properties
impact
wear
MPI
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 microplastics
polymer properties
impact
wear
MPI
url https://www.mdpi.com/2073-4360/15/9/2185
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