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Spatiotemporal distribution of microplastics in Miri coastal area, NW Borneo: inference from a periodical observation

The current study aims to investigate the spatiotemporal distribution of microplastics (MPs) in the Miri coast, targeting their occurrences, characterisation, and potential sources. For a periodical study, coastal sediments were collected from three different time intervals (monsoon, post-monsoon, a...

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Autores principales: Mishra, Anshuman, Mohan Viswanathan, Prasanna, Ramasamy, Nagarajan, Panchatcharam, Saravanan, Sabarathinam, Chidambaram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567912/
https://www.ncbi.nlm.nih.gov/pubmed/37688695
http://dx.doi.org/10.1007/s11356-023-29582-7
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author Mishra, Anshuman
Mohan Viswanathan, Prasanna
Ramasamy, Nagarajan
Panchatcharam, Saravanan
Sabarathinam, Chidambaram
author_facet Mishra, Anshuman
Mohan Viswanathan, Prasanna
Ramasamy, Nagarajan
Panchatcharam, Saravanan
Sabarathinam, Chidambaram
author_sort Mishra, Anshuman
collection PubMed
description The current study aims to investigate the spatiotemporal distribution of microplastics (MPs) in the Miri coast, targeting their occurrences, characterisation, and potential sources. For a periodical study, coastal sediments were collected from three different time intervals (monsoon, post-monsoon, and post-COVID) and subjected to stereomicroscope, ATR-FTIR, and SEM-EDX analyses. These results show a significant increase of MPs in post-COVID samples by approximately 218% and 148% comparatively with monsoon and post-monsoon samples, respectively. The highest concentration of MPs was detected near the river mouths and industrial areas where the waste discharge rate and anthropogenic activities dominate. Fibre-type MPs are the most abundant, with an average of nearly 64%, followed by fragments, films, microbeads, and foams. The most dominant polymer types were polytetrafluoroethylene (PTFE), polyethylene (PE), polypropylene (PP), polystyrene (PS), and polyester (PET). Overall, the current study shows a better understanding of MPs occurrence and potential sources in the Miri coastal area. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-023-29582-7.
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spelling pubmed-105679122023-10-13 Spatiotemporal distribution of microplastics in Miri coastal area, NW Borneo: inference from a periodical observation Mishra, Anshuman Mohan Viswanathan, Prasanna Ramasamy, Nagarajan Panchatcharam, Saravanan Sabarathinam, Chidambaram Environ Sci Pollut Res Int Research Article The current study aims to investigate the spatiotemporal distribution of microplastics (MPs) in the Miri coast, targeting their occurrences, characterisation, and potential sources. For a periodical study, coastal sediments were collected from three different time intervals (monsoon, post-monsoon, and post-COVID) and subjected to stereomicroscope, ATR-FTIR, and SEM-EDX analyses. These results show a significant increase of MPs in post-COVID samples by approximately 218% and 148% comparatively with monsoon and post-monsoon samples, respectively. The highest concentration of MPs was detected near the river mouths and industrial areas where the waste discharge rate and anthropogenic activities dominate. Fibre-type MPs are the most abundant, with an average of nearly 64%, followed by fragments, films, microbeads, and foams. The most dominant polymer types were polytetrafluoroethylene (PTFE), polyethylene (PE), polypropylene (PP), polystyrene (PS), and polyester (PET). Overall, the current study shows a better understanding of MPs occurrence and potential sources in the Miri coastal area. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-023-29582-7. Springer Berlin Heidelberg 2023-09-09 2023 /pmc/articles/PMC10567912/ /pubmed/37688695 http://dx.doi.org/10.1007/s11356-023-29582-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Mishra, Anshuman
Mohan Viswanathan, Prasanna
Ramasamy, Nagarajan
Panchatcharam, Saravanan
Sabarathinam, Chidambaram
Spatiotemporal distribution of microplastics in Miri coastal area, NW Borneo: inference from a periodical observation
title Spatiotemporal distribution of microplastics in Miri coastal area, NW Borneo: inference from a periodical observation
title_full Spatiotemporal distribution of microplastics in Miri coastal area, NW Borneo: inference from a periodical observation
title_fullStr Spatiotemporal distribution of microplastics in Miri coastal area, NW Borneo: inference from a periodical observation
title_full_unstemmed Spatiotemporal distribution of microplastics in Miri coastal area, NW Borneo: inference from a periodical observation
title_short Spatiotemporal distribution of microplastics in Miri coastal area, NW Borneo: inference from a periodical observation
title_sort spatiotemporal distribution of microplastics in miri coastal area, nw borneo: inference from a periodical observation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567912/
https://www.ncbi.nlm.nih.gov/pubmed/37688695
http://dx.doi.org/10.1007/s11356-023-29582-7
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