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dc.contributor.authorMaupas, Thomas
dc.contributor.authorGómez Laserna, Olivia
dc.contributor.authorUribe Martinez, Uxue
dc.contributor.authorSalazar, Daniela
dc.contributor.authorGrassl, Bruno
dc.contributor.authorDe Diego Rodríguez, Alberto
dc.date.accessioned2024-07-05T16:13:24Z
dc.date.available2024-07-05T16:13:24Z
dc.date.issued2024-06-17
dc.identifier.citationMicrochemical Journal 204 : (2024) // Article ID 110988es_ES
dc.identifier.issn0026-265X
dc.identifier.issn1095-9149
dc.identifier.urihttp://hdl.handle.net/10810/68802
dc.description.abstractMicroplastics (MPs) are causing global concern due to their role as vectors of environmental contaminants. Evaluating their impact on environmental compartments, particularly in sediment and freshwaters, remains challenging due to difficulties in gathering chemical and morphological data. In fact, the analytical process can vary depending on the matrix considered, the non-homogeneous characteristics of MPs, and the targeted size range. Sample treatment is crucial for sediments and waters, requiring a balance between matrix removal and preservation of the MPs. Consequently, MPs often remain embedded in significant amounts of the original matrices, compromising their characterisation. In this regard, Raman spectroscopy shows promise for their comprehensive molecular analysis. However, overcoming the drawbacks associated with fluorescence from organic matter, feldspar, or clays requires considerable effort. Effective signal acquisition necessitates fine-tuning parameters, including background reduction and signal-to-noise ratio amplification. Moreover, data handling involved in chemical scanning large surfaces at high resolution is a challenging task. To overcome these drawbacks, chemometrics have demonstrated high efficacy in processing and extracting targeted information. The application of chemometrics could be relevant in environmental studies due to the large number of samples, the complexity of signal acquisition, and the dataset volumes managed. As such, this study proposes spectroscopic analytical solutions, augmented by chemical imaging and algorithmic processing, for advanced MPs analysis. A spectroscopic working approach was devised and tested through a real case study conducted in the Choqueyapu River basin (La Paz, Bolivia). This methodology allowed the morphological, molecular and quantitative identification of over 44 particles/L and 91 MPs particles/kg, in water and sediment, respectively, consisting of PE, PET, PP, PS and PMMA. MP abundance varied significantly across studied areas, spanning 2 to 4 orders of magnitude. PET fibres predominated in freshwaters, while Lipari Sector sediments were hotspots for PE and PS fragments.es_ES
dc.description.sponsorshipThis work has been financially supported by the Spanish Ministry of Science and Innovation (MCIN) project PLASTEMER (PID2020-118685RB-I00), by the Basque Government project “Consolidated Research Group 2022-2025 (IT1446-22) and by the European Regional Development Fund (FEDER). T. Maupas gratefully acknowledges his predoctoral grant contract from the University of the Basque Country (UPV/EHU). U. Uribe-Martinez also thanks the Consolidate Group (IT1446-22) project from the Basque Government for her predoctoral contract. D. Salazar thanks the Erasmus mundus program for the European MSc in Environmental Science: Chemicals in the Environment (ECT+) Program (SGA 2019-1485).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/MCIN/PID2020-118685RB-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectRaman imaginges_ES
dc.subjectMicroplasticses_ES
dc.subjectSedimentses_ES
dc.subjectFreshwaterses_ES
dc.subjectChoqueyapu River basines_ES
dc.subjectBoliviaes_ES
dc.titleRaman imaging spectroscopic solutions for microplastics advanced analysis: Insights from Choqueyapu river basin (La Paz, Bolivia)es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND licensees_ES
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0026265X24011007es_ES
dc.identifier.doi10.1016/j.microc.2024.110988.
dc.departamentoesQuímica analíticaes_ES
dc.departamentoeuKimika analitikoaes_ES


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© 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license
Except where otherwise noted, this item's license is described as © 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license