Nominally identical microplastic models differ greatly in their particle-cell interactions.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
31 Jan 2024
Historique:
received: 01 07 2022
accepted: 19 01 2024
medline: 1 2 2024
pubmed: 1 2 2024
entrez: 31 1 2024
Statut: epublish

Résumé

Due to the abundance of microplastics in the environment, research about its possible adverse effects is increasing exponentially. Most studies investigating the effect of microplastics on cells still rely on commercially available polystyrene microspheres. However, the choice of these model microplastic particles can affect the outcome of the studies, as even nominally identical model microplastics may interact differently with cells due to different surface properties such as the surface charge. Here, we show that nominally identical polystyrene microspheres from eight different manufacturers significantly differ in their ζ-potential, which is the electrical potential of a particle in a medium at its slipping plane. The ζ-potential of the polystyrene particles is additionally altered after environmental exposure. We developed a microfluidic microscopy platform to demonstrate that the ζ-potential determines particle-cell adhesion strength. Furthermore, we find that due to this effect, the ζ-potential also strongly determines the internalization of the microplastic particles into cells. Therefore, the ζ-potential can act as a proxy of microplastic-cell interactions and may govern adverse effects reported in various organisms exposed to microplastics.

Identifiants

pubmed: 38297000
doi: 10.1038/s41467-024-45281-4
pii: 10.1038/s41467-024-45281-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

922

Subventions

Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : 391977956 - SFB 1357
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : INST 91/427-1 FUGG
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : 391977956 - SFB 1357
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : OB362/4-1
Organisme : EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
ID : 965367 (PlasticsFatE)

Informations de copyright

© 2024. The Author(s).

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Auteurs

Simon Wieland (S)

Biological Physics, University of Bayreuth, Bayreuth, Germany.
Animal Ecology I and BayCEER, University of Bayreuth, Bayreuth, Germany.

Anja F R M Ramsperger (AFRM)

Biological Physics, University of Bayreuth, Bayreuth, Germany.
Animal Ecology I and BayCEER, University of Bayreuth, Bayreuth, Germany.

Wolfgang Gross (W)

Biological Physics, University of Bayreuth, Bayreuth, Germany.

Moritz Lehmann (M)

Biofluid Simulation and Modeling - Theoretical Physics VI, University of Bayreuth, Bayreuth, Germany.

Thomas Witzmann (T)

Leibniz Institut für Polymerforschung Dresden e. V., Institute of Physical Chemistry and Polymer Physics, Dresden, Germany.

Anja Caspari (A)

Leibniz Institut für Polymerforschung Dresden e. V., Institute of Physical Chemistry and Polymer Physics, Dresden, Germany.

Martin Obst (M)

Experimental Biogeochemistry, BayCEER, University of Bayreuth, Bayreuth, Germany.

Stephan Gekle (S)

Biofluid Simulation and Modeling - Theoretical Physics VI, University of Bayreuth, Bayreuth, Germany.

Günter K Auernhammer (GK)

Leibniz Institut für Polymerforschung Dresden e. V., Institute of Physical Chemistry and Polymer Physics, Dresden, Germany.

Andreas Fery (A)

Leibniz Institut für Polymerforschung Dresden e. V., Institute of Physical Chemistry and Polymer Physics, Dresden, Germany.
Physical Chemistry of Polymeric Materials, Technische Universität Dresden, Dresden, Germany.

Christian Laforsch (C)

Animal Ecology I and BayCEER, University of Bayreuth, Bayreuth, Germany. christian.laforsch@uni-bayreuth.de.

Holger Kress (H)

Biological Physics, University of Bayreuth, Bayreuth, Germany. holger.kress@uni-bayreuth.de.

Classifications MeSH