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A multimedia model to estimate the environmental fate of microplastic particles

Nano- and microplastic (NMP) is a diverse and challenging contaminant and data on NMP concentrations are therefore not fully available for all environmental compartments. For environmental assessments of NMP, screening-level multimedia models can fill this gap, but such models are not available. Her...

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Detalles Bibliográficos
Autores principales: Quik, J.T.K., Meesters, J.A.J., Koelmans, A.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238883/
https://www.ncbi.nlm.nih.gov/pubmed/37059151
http://dx.doi.org/10.1016/j.scitotenv.2023.163437
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author Quik, J.T.K.
Meesters, J.A.J.
Koelmans, A.A.
author_facet Quik, J.T.K.
Meesters, J.A.J.
Koelmans, A.A.
author_sort Quik, J.T.K.
collection PubMed
description Nano- and microplastic (NMP) is a diverse and challenging contaminant and data on NMP concentrations are therefore not fully available for all environmental compartments. For environmental assessments of NMP, screening-level multimedia models can fill this gap, but such models are not available. Here, we present SimpleBox4Plastic (SB4P) as the first multimedia ‘unit world’ model capable of addressing the full NMP continuum, explore its validity, and evaluate it based on a case study for microbeads and by comparisons with (limited) concentration data. SB4P links NMP transport and concentrations in and across air, surface water, sediment, and soil, taking into account processes such as attachment, aggregation, and fragmentation, by solving mass balance equations using matrix algebra. These link all concentrations and processes known to be relevant for NMP using first-order rate constants, which are obtained from the literature. The SB4P model, as applied to microbeads, provided mass or number concentrations of NMP as the total of ‘free’ particles, heteroaggregates with natural colloids, and larger natural particles in each compartment at steady state. Processes most relevant in explaining observed Predicted Exposure Concentrations (PECs) were determined using rank correlation analysis. Although the predicted PECs remained uncertain due to the propagating uncertainty, inferences regarding these processes and relative distribution across compartments can be considered robust.
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spelling pubmed-102388832023-07-15 A multimedia model to estimate the environmental fate of microplastic particles Quik, J.T.K. Meesters, J.A.J. Koelmans, A.A. Sci Total Environ Article Nano- and microplastic (NMP) is a diverse and challenging contaminant and data on NMP concentrations are therefore not fully available for all environmental compartments. For environmental assessments of NMP, screening-level multimedia models can fill this gap, but such models are not available. Here, we present SimpleBox4Plastic (SB4P) as the first multimedia ‘unit world’ model capable of addressing the full NMP continuum, explore its validity, and evaluate it based on a case study for microbeads and by comparisons with (limited) concentration data. SB4P links NMP transport and concentrations in and across air, surface water, sediment, and soil, taking into account processes such as attachment, aggregation, and fragmentation, by solving mass balance equations using matrix algebra. These link all concentrations and processes known to be relevant for NMP using first-order rate constants, which are obtained from the literature. The SB4P model, as applied to microbeads, provided mass or number concentrations of NMP as the total of ‘free’ particles, heteroaggregates with natural colloids, and larger natural particles in each compartment at steady state. Processes most relevant in explaining observed Predicted Exposure Concentrations (PECs) were determined using rank correlation analysis. Although the predicted PECs remained uncertain due to the propagating uncertainty, inferences regarding these processes and relative distribution across compartments can be considered robust. Elsevier 2023-07-15 /pmc/articles/PMC10238883/ /pubmed/37059151 http://dx.doi.org/10.1016/j.scitotenv.2023.163437 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Quik, J.T.K.
Meesters, J.A.J.
Koelmans, A.A.
A multimedia model to estimate the environmental fate of microplastic particles
title A multimedia model to estimate the environmental fate of microplastic particles
title_full A multimedia model to estimate the environmental fate of microplastic particles
title_fullStr A multimedia model to estimate the environmental fate of microplastic particles
title_full_unstemmed A multimedia model to estimate the environmental fate of microplastic particles
title_short A multimedia model to estimate the environmental fate of microplastic particles
title_sort multimedia model to estimate the environmental fate of microplastic particles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238883/
https://www.ncbi.nlm.nih.gov/pubmed/37059151
http://dx.doi.org/10.1016/j.scitotenv.2023.163437
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