Recognizing microplastic deposits on sandy beaches by altimetric positioning, μ-Raman spectroscopy and multivariate statistical models
Understanding the extent and implications of microplastic (MP) pollution along the São Paulo State coastline in southeastern Brazil is crucial, considering the significant environmental burden imposed by industrial and port activities in this region. This research aims to understand the complex dyna...
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| Veröffentlicht in: | Marine pollution bulletin 2024-12, Vol.209 (Pt A), p.117025, Article 117025 |
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| creator | Ferreira, Anderson Targino da Silva Wetter, Niklaus Ursus Ribeiro, Maria Carolina Hernandez Esteves, Luciana Slomp Dias, António José Guerner Grohmann, Carlos Henrique Kuznetsova, Maria Freitas, Anderson Zanardi de Oliveira, Regina Célia de Siegle, Eduardo |
| description | Understanding the extent and implications of microplastic (MP) pollution along the São Paulo State coastline in southeastern Brazil is crucial, considering the significant environmental burden imposed by industrial and port activities in this region. This research aims to understand the complex dynamics of MP deposition on sandy beaches, which poses severe environmental risks to coastal ecosystems, marine organisms, and humans. Using a comprehensive five-step methodology—geodetic surveys, sediment collection, μ-RAMAN spectrometry for polymer identification, and multivariate statistical models—we analyzed the distribution of MPs across six coastal compartments (C1 to C6). The results (128 samples from 34 profiles) revealed relatively high MP concentrations in C3 and C2, which were likely influenced by local human activities. Various shape types of MPs, such as pellets, fragments, and fibers, present distinct distribution patterns based on their physical properties and emission sources. Fragments and foam were the most prevalent, accounting for 42 % and 35 %, respectively, of the 1026 MP items identified in total. Statistical analyses revealed significant correlations between MP types and beach morphometric features, with higher elevations correlating with increased MP concentrations, particularly for pellets and foam. Beaches with intermediate slopes (0.05 |
| doi_str_mv | 10.1016/j.marpolbul.2024.117025 |
| format | Article |
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•Different types/forms of microplastics tend to accumulate in distinct beach locations.•This deposition is influenced by microplastic and environmental characteristics, as demonstrated by statistical associations.•A robust data analysis can indicate hotspots of microplastic accumulation on sandy beaches.•The present article presents a broad study on microplastic deposition on sandy beaches in a Brazilian state.</description><identifier>ISSN: 0025-326X</identifier><identifier>ISSN: 1879-3363</identifier><identifier>EISSN: 1879-3363</identifier><identifier>DOI: 10.1016/j.marpolbul.2024.117025</identifier><identifier>PMID: 39393225</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Bathing Beaches ; Brazil ; Coastal deposition ; coasts ; Environmental Monitoring - methods ; Extreme events ; foams ; Geologic Sediments - chemistry ; GNSS ; humans ; Marine litter ; marine pollution ; microplastics ; Microplastics - analysis ; Models, Statistical ; morphometry ; Plastic particles ; remediation ; sediments ; spectroscopy ; Spectrum Analysis, Raman ; Water Pollutants, Chemical - analysis</subject><ispartof>Marine pollution bulletin, 2024-12, Vol.209 (Pt A), p.117025, Article 117025</ispartof><rights>2024 Elsevier Ltd</rights><rights>Copyright © 2024 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1955-21f4aa9bf10708966ba65f098a6fcfd968e25b566ac5dbdd550343eaf806313e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0025326X24010026$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39393225$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ferreira, Anderson Targino da Silva</creatorcontrib><creatorcontrib>Wetter, Niklaus Ursus</creatorcontrib><creatorcontrib>Ribeiro, Maria Carolina Hernandez</creatorcontrib><creatorcontrib>Esteves, Luciana Slomp</creatorcontrib><creatorcontrib>Dias, António José Guerner</creatorcontrib><creatorcontrib>Grohmann, Carlos Henrique</creatorcontrib><creatorcontrib>Kuznetsova, Maria</creatorcontrib><creatorcontrib>Freitas, Anderson Zanardi de</creatorcontrib><creatorcontrib>Oliveira, Regina Célia de</creatorcontrib><creatorcontrib>Siegle, Eduardo</creatorcontrib><title>Recognizing microplastic deposits on sandy beaches by altimetric positioning, μ-Raman spectroscopy and multivariate statistical models</title><title>Marine pollution bulletin</title><addtitle>Mar Pollut Bull</addtitle><description>Understanding the extent and implications of microplastic (MP) pollution along the São Paulo State coastline in southeastern Brazil is crucial, considering the significant environmental burden imposed by industrial and port activities in this region. This research aims to understand the complex dynamics of MP deposition on sandy beaches, which poses severe environmental risks to coastal ecosystems, marine organisms, and humans. Using a comprehensive five-step methodology—geodetic surveys, sediment collection, μ-RAMAN spectrometry for polymer identification, and multivariate statistical models—we analyzed the distribution of MPs across six coastal compartments (C1 to C6). The results (128 samples from 34 profiles) revealed relatively high MP concentrations in C3 and C2, which were likely influenced by local human activities. Various shape types of MPs, such as pellets, fragments, and fibers, present distinct distribution patterns based on their physical properties and emission sources. Fragments and foam were the most prevalent, accounting for 42 % and 35 %, respectively, of the 1026 MP items identified in total. Statistical analyses revealed significant correlations between MP types and beach morphometric features, with higher elevations correlating with increased MP concentrations, particularly for pellets and foam. Beaches with intermediate slopes (0.05 < tanβ <0.12) and openings to the southern quadrant tended to accumulate more MPs. This research underscores the importance of tailored management strategies that consider the unique characteristics of each coastal region to mitigate the impacts of MP pollution. The findings contribute to the development of targeted monitoring and environmental remediation strategies, which are crucial for protecting marine life and maintaining the integrity of coastal environments.
•Different types/forms of microplastics tend to accumulate in distinct beach locations.•This deposition is influenced by microplastic and environmental characteristics, as demonstrated by statistical associations.•A robust data analysis can indicate hotspots of microplastic accumulation on sandy beaches.•The present article presents a broad study on microplastic deposition on sandy beaches in a Brazilian state.</description><subject>Bathing Beaches</subject><subject>Brazil</subject><subject>Coastal deposition</subject><subject>coasts</subject><subject>Environmental Monitoring - methods</subject><subject>Extreme events</subject><subject>foams</subject><subject>Geologic Sediments - chemistry</subject><subject>GNSS</subject><subject>humans</subject><subject>Marine litter</subject><subject>marine pollution</subject><subject>microplastics</subject><subject>Microplastics - analysis</subject><subject>Models, Statistical</subject><subject>morphometry</subject><subject>Plastic particles</subject><subject>remediation</subject><subject>sediments</subject><subject>spectroscopy</subject><subject>Spectrum Analysis, Raman</subject><subject>Water Pollutants, Chemical - analysis</subject><issn>0025-326X</issn><issn>1879-3363</issn><issn>1879-3363</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkcuKFDEUhoMoTjv6CpqlC6vNpZNULYfBGwwIg4K7cCo5NaZJVcqkaqB9AV_KZ_CZTNvjbIcEAuH7z4H_I-QVZ1vOuH67346Q5xT7NW4FE7st54YJ9YhseGu6RkotH5MNq1-NFPrbGXlWyp4xZoThT8mZ7OoRQm3Ir2t06WYKP8N0Q8fgcpojlCU46nFOJSyFpokWmPyB9gjuOxbaHyjEJYy45Mr9o0Ka6oA39M_v5hpGqIkZ3ZJTcWmu9OTpuNbILeQAC9KywBKOWyDSMXmM5Tl5MkAs-OLuPSdf37_7cvmxufr84dPlxVXjeKdUI_iwA-j6gTPD2k7rHrQaWNeCHtzgO92iUL3SGpzyvfdKMbmTCEPLtOQS5Tl5fZo75_RjxbLYMRSHMcKEaS1WciVbrk2FH0a5MobVW1FzQmt_pWQc7JxDNXSwnNmjMLu398LsUZg9CavJl3dL1n5Ef5_7b6gCFyegloS3AbMtLuDk0IdcK7Y-hQeX_AXpW6-U</recordid><startdate>202412</startdate><enddate>202412</enddate><creator>Ferreira, Anderson Targino da Silva</creator><creator>Wetter, Niklaus Ursus</creator><creator>Ribeiro, Maria Carolina Hernandez</creator><creator>Esteves, Luciana Slomp</creator><creator>Dias, António José Guerner</creator><creator>Grohmann, Carlos Henrique</creator><creator>Kuznetsova, Maria</creator><creator>Freitas, Anderson Zanardi de</creator><creator>Oliveira, Regina Célia de</creator><creator>Siegle, Eduardo</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>202412</creationdate><title>Recognizing microplastic deposits on sandy beaches by altimetric positioning, μ-Raman spectroscopy and multivariate statistical models</title><author>Ferreira, Anderson Targino da Silva ; Wetter, Niklaus Ursus ; Ribeiro, Maria Carolina Hernandez ; Esteves, Luciana Slomp ; Dias, António José Guerner ; Grohmann, Carlos Henrique ; Kuznetsova, Maria ; Freitas, Anderson Zanardi de ; Oliveira, Regina Célia de ; Siegle, Eduardo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1955-21f4aa9bf10708966ba65f098a6fcfd968e25b566ac5dbdd550343eaf806313e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Bathing Beaches</topic><topic>Brazil</topic><topic>Coastal deposition</topic><topic>coasts</topic><topic>Environmental Monitoring - methods</topic><topic>Extreme events</topic><topic>foams</topic><topic>Geologic Sediments - chemistry</topic><topic>GNSS</topic><topic>humans</topic><topic>Marine litter</topic><topic>marine pollution</topic><topic>microplastics</topic><topic>Microplastics - analysis</topic><topic>Models, Statistical</topic><topic>morphometry</topic><topic>Plastic particles</topic><topic>remediation</topic><topic>sediments</topic><topic>spectroscopy</topic><topic>Spectrum Analysis, Raman</topic><topic>Water Pollutants, Chemical - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ferreira, Anderson Targino da Silva</creatorcontrib><creatorcontrib>Wetter, Niklaus Ursus</creatorcontrib><creatorcontrib>Ribeiro, Maria Carolina Hernandez</creatorcontrib><creatorcontrib>Esteves, Luciana Slomp</creatorcontrib><creatorcontrib>Dias, António José Guerner</creatorcontrib><creatorcontrib>Grohmann, Carlos Henrique</creatorcontrib><creatorcontrib>Kuznetsova, Maria</creatorcontrib><creatorcontrib>Freitas, Anderson Zanardi de</creatorcontrib><creatorcontrib>Oliveira, Regina Célia de</creatorcontrib><creatorcontrib>Siegle, Eduardo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Marine pollution bulletin</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ferreira, Anderson Targino da Silva</au><au>Wetter, Niklaus Ursus</au><au>Ribeiro, Maria Carolina Hernandez</au><au>Esteves, Luciana Slomp</au><au>Dias, António José Guerner</au><au>Grohmann, Carlos Henrique</au><au>Kuznetsova, Maria</au><au>Freitas, Anderson Zanardi de</au><au>Oliveira, Regina Célia de</au><au>Siegle, Eduardo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Recognizing microplastic deposits on sandy beaches by altimetric positioning, μ-Raman spectroscopy and multivariate statistical models</atitle><jtitle>Marine pollution bulletin</jtitle><addtitle>Mar Pollut Bull</addtitle><date>2024-12</date><risdate>2024</risdate><volume>209</volume><issue>Pt A</issue><spage>117025</spage><pages>117025-</pages><artnum>117025</artnum><issn>0025-326X</issn><issn>1879-3363</issn><eissn>1879-3363</eissn><abstract>Understanding the extent and implications of microplastic (MP) pollution along the São Paulo State coastline in southeastern Brazil is crucial, considering the significant environmental burden imposed by industrial and port activities in this region. This research aims to understand the complex dynamics of MP deposition on sandy beaches, which poses severe environmental risks to coastal ecosystems, marine organisms, and humans. Using a comprehensive five-step methodology—geodetic surveys, sediment collection, μ-RAMAN spectrometry for polymer identification, and multivariate statistical models—we analyzed the distribution of MPs across six coastal compartments (C1 to C6). The results (128 samples from 34 profiles) revealed relatively high MP concentrations in C3 and C2, which were likely influenced by local human activities. Various shape types of MPs, such as pellets, fragments, and fibers, present distinct distribution patterns based on their physical properties and emission sources. Fragments and foam were the most prevalent, accounting for 42 % and 35 %, respectively, of the 1026 MP items identified in total. Statistical analyses revealed significant correlations between MP types and beach morphometric features, with higher elevations correlating with increased MP concentrations, particularly for pellets and foam. Beaches with intermediate slopes (0.05 < tanβ <0.12) and openings to the southern quadrant tended to accumulate more MPs. This research underscores the importance of tailored management strategies that consider the unique characteristics of each coastal region to mitigate the impacts of MP pollution. The findings contribute to the development of targeted monitoring and environmental remediation strategies, which are crucial for protecting marine life and maintaining the integrity of coastal environments.
•Different types/forms of microplastics tend to accumulate in distinct beach locations.•This deposition is influenced by microplastic and environmental characteristics, as demonstrated by statistical associations.•A robust data analysis can indicate hotspots of microplastic accumulation on sandy beaches.•The present article presents a broad study on microplastic deposition on sandy beaches in a Brazilian state.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>39393225</pmid><doi>10.1016/j.marpolbul.2024.117025</doi></addata></record> |
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| subjects | Bathing Beaches Brazil Coastal deposition coasts Environmental Monitoring - methods Extreme events foams Geologic Sediments - chemistry GNSS humans Marine litter marine pollution microplastics Microplastics - analysis Models, Statistical morphometry Plastic particles remediation sediments spectroscopy Spectrum Analysis, Raman Water Pollutants, Chemical - analysis |
| title | Recognizing microplastic deposits on sandy beaches by altimetric positioning, μ-Raman spectroscopy and multivariate statistical models |
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