Nanoplastic State and Fate in Aquatic Environments: Multiscale Modeling.

DLVO fugacity model modelling plastics nanoplastics fate organic pollutant fate population balance

Journal

Environmental science & technology
ISSN: 1520-5851
Titre abrégé: Environ Sci Technol
Pays: United States
ID NLM: 0213155

Informations de publication

Date de publication:
05 04 2022
Historique:
pubmed: 22 3 2022
medline: 7 4 2022
entrez: 21 3 2022
Statut: ppublish

Résumé

We now know that nanoplastics can harm aquatic organisms, but understanding ecological risk starts with understanding fate. We coupled population balance and fugacity models to predict the conditions under which nanoplastics remain as single particles, aggregate, or sediment and to predict their capacity to concentrate organic pollutants. We carried out simulations across a broad range of nanoplastic concentrations, particle sizes, and particle-particle interactions under a range of salinity and organic matter conditions. The model predicts that across plastic materials and environmental conditions, nanoplastics will either remain mostly dispersed or settle as aggregates with natural colloids. Nanoplastics of different size classes respond dissimilarly to concentration, ionic strength, and organic matter content, indicating that the sizes of nanoplastics to which organisms are exposed likely shift across ecological zones. We implemented a fugacity model of the Great Lakes to assess the organic pollution payload carried by nanoplastics, generating the expectation that nanoplastics would carry nine times more pollutants than microsized plastics and a threshold concentration of 10 μg/L at which they impact pollutant distribution. Our simulations across a broad range of factors inform future experimentation by highlighting the relative importance of size, concentration, material properties, and interactions in driving nanoplastic fate in aquatic environments.

Identifiants

pubmed: 35311252
doi: 10.1021/acs.est.1c03922
doi:

Substances chimiques

Microplastics 0
Plastics 0
Water Pollutants, Chemical 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4017-4028

Auteurs

Tiago F Lins (TF)

Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto ON M5S 3G8, Canada.

Anna M O'Brien (AM)

Department of Ecology and Evolutionary Biology, University of Toronto, 25 Wilcocks Street, Toronto ON M5S 3B2, Canada.

Mohammad Zargartalebi (M)

Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto ON M5S 3G8, Canada.

David Sinton (D)

Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto ON M5S 3G8, Canada.

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Classifications MeSH