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Classification and distribution of freshwater microplastics along the Italian Po river by hyperspectral imaging

In this work, freshwater microplastic samples collected from four different stations along the Italian Po river were characterized in terms of abundance, distribution, category, morphological and morphometrical features, and polymer type. The correlation between microplastic category and polymer typ...

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Autores principales: Fiore, Ludovica, Serranti, Silvia, Mazziotti, Cristina, Riccardi, Elena, Benzi, Margherita, Bonifazi, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252960/
https://www.ncbi.nlm.nih.gov/pubmed/35195863
http://dx.doi.org/10.1007/s11356-022-18501-x
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author Fiore, Ludovica
Serranti, Silvia
Mazziotti, Cristina
Riccardi, Elena
Benzi, Margherita
Bonifazi, Giuseppe
author_facet Fiore, Ludovica
Serranti, Silvia
Mazziotti, Cristina
Riccardi, Elena
Benzi, Margherita
Bonifazi, Giuseppe
author_sort Fiore, Ludovica
collection PubMed
description In this work, freshwater microplastic samples collected from four different stations along the Italian Po river were characterized in terms of abundance, distribution, category, morphological and morphometrical features, and polymer type. The correlation between microplastic category and polymer type was also evaluated. Polymer identification was carried out developing and implementing a new and effective hierarchical classification logic applied to hyperspectral images acquired in the short-wave infrared range (SWIR: 1000–2500 nm). Results showed that concentration of microplastics ranged from 1.89 to 8.22 particles/m(3), the most abundant category was fragment, followed by foam, granule, pellet, and filament and the most diffused polymers were expanded polystyrene followed by polyethylene, polypropylene, polystyrene, polyamide, polyethylene terephthalate and polyvinyl chloride, with some differences in polymer distribution among stations. The application of hyperspectral imaging (HSI) as a rapid and non-destructive method to classify freshwater microplastics for environmental monitoring represents a completely innovative approach in this field. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-022-18501-x.
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spelling pubmed-92529602022-07-06 Classification and distribution of freshwater microplastics along the Italian Po river by hyperspectral imaging Fiore, Ludovica Serranti, Silvia Mazziotti, Cristina Riccardi, Elena Benzi, Margherita Bonifazi, Giuseppe Environ Sci Pollut Res Int Research Article In this work, freshwater microplastic samples collected from four different stations along the Italian Po river were characterized in terms of abundance, distribution, category, morphological and morphometrical features, and polymer type. The correlation between microplastic category and polymer type was also evaluated. Polymer identification was carried out developing and implementing a new and effective hierarchical classification logic applied to hyperspectral images acquired in the short-wave infrared range (SWIR: 1000–2500 nm). Results showed that concentration of microplastics ranged from 1.89 to 8.22 particles/m(3), the most abundant category was fragment, followed by foam, granule, pellet, and filament and the most diffused polymers were expanded polystyrene followed by polyethylene, polypropylene, polystyrene, polyamide, polyethylene terephthalate and polyvinyl chloride, with some differences in polymer distribution among stations. The application of hyperspectral imaging (HSI) as a rapid and non-destructive method to classify freshwater microplastics for environmental monitoring represents a completely innovative approach in this field. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-022-18501-x. Springer Berlin Heidelberg 2022-02-23 2022 /pmc/articles/PMC9252960/ /pubmed/35195863 http://dx.doi.org/10.1007/s11356-022-18501-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Fiore, Ludovica
Serranti, Silvia
Mazziotti, Cristina
Riccardi, Elena
Benzi, Margherita
Bonifazi, Giuseppe
Classification and distribution of freshwater microplastics along the Italian Po river by hyperspectral imaging
title Classification and distribution of freshwater microplastics along the Italian Po river by hyperspectral imaging
title_full Classification and distribution of freshwater microplastics along the Italian Po river by hyperspectral imaging
title_fullStr Classification and distribution of freshwater microplastics along the Italian Po river by hyperspectral imaging
title_full_unstemmed Classification and distribution of freshwater microplastics along the Italian Po river by hyperspectral imaging
title_short Classification and distribution of freshwater microplastics along the Italian Po river by hyperspectral imaging
title_sort classification and distribution of freshwater microplastics along the italian po river by hyperspectral imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252960/
https://www.ncbi.nlm.nih.gov/pubmed/35195863
http://dx.doi.org/10.1007/s11356-022-18501-x
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