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Foetisch A, Filella M, Watts B, Bragoni M, Bigalke M. After the sun: a nanoscale comparison of the surface chemical composition of UV and soil weathered plastics. Microplast nanoplast 2023; 3:18. [PMID: 37547699 PMCID: PMC10400702 DOI: 10.1186/s43591-023-00066-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/16/2023] [Indexed: 08/08/2023]
Abstract
Once emitted into the environment, macro- (MaP), micro- (MP) and nanoplastics (NP) are exposed to environmental weathering. Yet, the effects of biogeochemical weathering factors occurring in the soil environment are unknown. As the transport, fate, and toxicity of MP and NP depend directly on their surface properties, it is crucial to characterize their transformation in soils to better predict their impact and interactions in this environment. Here, we used scanning transmission x-ray micro spectroscopy to characterize depth profiles of the surface alteration of environmental plastic debris retrieved from soil samples. Controlled weathering experiments in soil and with UV radiation were also performed to investigate the individual effect of these weathering factors on polymer surface alteration. The results revealed a weathered surface on a depth varying between 1 µm and 100 nm in PS, PET and PP environmental plastic fragments naturally weathered in soil. Moreover, the initial step of surface fragmentation was observed on a PS fragment, providing an insight on the factors and processes leading to the release of MP and NP in soils. The comparison of environmental, soil incubated (for 1 year) and UV weathered samples showed that the treatments led to different surface chemical modifications. While the environmental samples showed evidence of alteration involving oxidation processes, the UV weathered samples did not reveal oxidation signs at the surface but only decrease in peak intensities (indicating decrease of the number of chemical C bonds). After a one-year incubation of samples in soil no clear aging effects were observed, indicating that the aging of polymers can be slow in soils. Supplementary Information The online version contains supplementary material available at 10.1186/s43591-023-00066-2.
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Affiliation(s)
- Alexandra Foetisch
- Institute of Geography, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
| | - Montserrat Filella
- Department F.-A. Forel, University of Geneva, Boulevard Carl-Vogt 66, CH-1205 Geneva, Switzerland
| | - Benjamin Watts
- Paul Scherrer Institute, Forschungsstrasse 111, 5232 Villigen-PSI, Switzerland
| | - Maeva Bragoni
- Institute of Geography, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
| | - Moritz Bigalke
- Institute of Applied Geoscience, Technical University of Darmstadt, Schnittspahnstrasse 9, 64287 Darmstadt, Germany
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Tramoy R, Ledieu L, Ricordel S, Astrié D, Tassin B, Gasperi J. Macrolitter dataset from a highly frequented roadway in Nantes, France. Data Brief 2022; 42:108237. [PMID: 35599826 PMCID: PMC9118109 DOI: 10.1016/j.dib.2022.108237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 04/27/2022] [Accepted: 04/28/2022] [Indexed: 11/17/2022] Open
Abstract
Land-based sources of riverine macrolitter are now recognized as a major concern, but few field data on litter amount, composition and sources are available. This is especially the case for macrolitter hotspots like high frequented roadways that could generate large amount of macrolitter potentially reaching rivers. This dataset provides macrolitter amount and composition over one year from a retention pond collecting stormwater and carried macrolitter from a 800 m portion of a highly frequented roadway (around 90,000 vehicles per day). The typology of macrolitter was defined using the TSG-ML/OSPAR classifications. A total of 36,439 items in which 84% of plastics were individually counted, classified and weighted by category for a total mass of 88.5 kg (60% of plastics). Raw data are available in Mendeley Data (DOI:10.17632/t6ryv6crjd.4). Top 10 items represent 92% by count of the total with plastic fragments (31%), cigarette butts (18%), EPS fragments (17%) or foam packaging (11%) as most common items. Top 10 items represent 72% by mass of the total with plastic fragments (24%) and Cardboard (13%) as most common items, followed by foam packaging (6%), wood fragments (6%), industrial plastic sheets (5%), rubber fragments (4%) and EPS fragments (4%). More than 94% of plastic items are below 1.9 g/item. This dataset is related to the research paper Amount, composition and sources of macrolitter from a highly frequented roadway.
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Affiliation(s)
- Romain Tramoy
- Univ Paris Est Créteil, LEESU, F-94010 Créteil, France
- Ecole des Ponts, LEESU, F-77455 Champs-sur-Marne, France
- Corresponding author.
| | - Lauriane Ledieu
- GERS-LEE, Univ Gustave Eiffel, IFSTTAR, F-44344 Bouguenais, France
- Institut de Recherche en Sciences et Techniques de la Ville IRSTV, CNRS, 1 rue de la Noë, 44321 Nantes Cedex 3, France
| | - Sophie Ricordel
- GERS-LEE, Univ Gustave Eiffel, IFSTTAR, F-44344 Bouguenais, France
- Institut de Recherche en Sciences et Techniques de la Ville IRSTV, CNRS, 1 rue de la Noë, 44321 Nantes Cedex 3, France
| | - Daniel Astrié
- GERS-LEE, Univ Gustave Eiffel, IFSTTAR, F-44344 Bouguenais, France
- Institut de Recherche en Sciences et Techniques de la Ville IRSTV, CNRS, 1 rue de la Noë, 44321 Nantes Cedex 3, France
| | - Bruno Tassin
- Univ Paris Est Créteil, LEESU, F-94010 Créteil, France
- Ecole des Ponts, LEESU, F-77455 Champs-sur-Marne, France
| | - Johnny Gasperi
- GERS-LEE, Univ Gustave Eiffel, IFSTTAR, F-44344 Bouguenais, France
- Institut de Recherche en Sciences et Techniques de la Ville IRSTV, CNRS, 1 rue de la Noë, 44321 Nantes Cedex 3, France
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