FRAGMENT-MNP: a model of micro- and nanoplastic fragmentation in the environment

Harrison, Sam ORCID: https://orcid.org/0000-0001-8491-4720; Uluseker, Cansu ORCID: https://orcid.org/0000-0001-9828-0458; Pfohl, Patrizia ORCID: https://orcid.org/0000-0002-1580-8833; Santizo, Katherine; Sipe, Joana ORCID: https://orcid.org/0000-0001-5602-0922; Lopez, Brandon; Praetorius, Antonia ORCID: https://orcid.org/0000-0003-0197-0116; Cross, Richard K. ORCID: https://orcid.org/0000-0001-5409-6552; Adediran, Gbotemi A. ORCID: https://orcid.org/0000-0001-6657-3336; Svendsen, Claus ORCID: https://orcid.org/0000-0001-7281-647X; Wohlleben, Wendel ORCID: https://orcid.org/0000-0003-2094-3260; Wiesner, Mark ORCID: https://orcid.org/0000-0002-0823-5045. 2025 FRAGMENT-MNP: a model of micro- and nanoplastic fragmentation in the environment. Journal of Open Source Software, 10 (110), 8061. 4, pp. 10.21105/joss.08061

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Abstract/Summary

The degradation and fragmentation of plastics in the environment is an important but relatively poorly characterised process. Fragmentation leads to the formation of micro- and nanoplastics, and research has shown that particle size and shape, and thereby fragmentation, impacts a variety of processes, such as the ability of organisms to uptake plastics, and the movement of plastics around the environment (Thompson et al., 2024; Thornton Hampton et al., 2022). In this paper, we present the FRAGMENT-MNP model as an open-source mechanistic model of micro- and nanoplastic degradation and fragmentation. FRAGMENT-MNP predicts how pieces of plastic can break part (fragment), providing invaluable insights into fragmentation dynamics to help develop our understanding of plastic degradation and fragmentation, and offering predictive capabilities to enable better prediction of the fate and exposure of plastics in the environment.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.21105/joss.08061
UKCEH and CEH Sections/Science Areas:	Environmental Pressures and Responses (2025-) National Capability and Digital Research (2025-)
ISSN:	2475-9066
Additional Information:	Open Access paper - full text available via Official URL link.
NORA Subject Terms:	Computer Science
Date made live:	19 Jun 2025 10:19 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/539627

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