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Separation and identification of microplastics from primary and secondary effluents and activated sludge from wastewater treatment plants

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Separation and identification of microplastics from primary and secondary effluents and activated sludge from wastewater treatment plants

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dc.contributor.author Alvim, C. Bretas es_ES
dc.contributor.author Bes-Piá, M.A. es_ES
dc.contributor.author Mendoza Roca, José Antonio es_ES
dc.date.accessioned 2021-04-30T03:31:34Z
dc.date.available 2021-04-30T03:31:34Z
dc.date.issued 2020-12-15 es_ES
dc.identifier.issn 1385-8947 es_ES
dc.identifier.uri http://hdl.handle.net/10251/165801
dc.description.abstract [EN] Although wastewater treatment plants can retain a high percentage of microplastics (MP) arriving at the facilities, no method for extracting and characterizing these microparticles has been still standardized in these units. This study investigated three protocols of chemical digestion, prior to analysis of microplastics, one directed to the effluents, using peroxidation, and two for activated sludge (peroxidation and Fenton). The samples (primary effluent, secondary effluent and activated sludge) were collected from a wastewater treatment plant (WWTP) located in Valencia (Spain). In addition, four common types of polymers (Low density polyethylene-LDPE, Polypropylene-PP, Polystyrene-PS and Polyethylene terephthalate-PET) were used to assess the influence of reagent exposure on microparticle integrity. Peroxidation was effective in treating the studied effluents (primary and secondary) and was also identified as the ideal protocol for activated sludge. The analysis showed that the use of H2O2 does not compromise the identification of the polymers evaluated by FTIR and also significantly reduced the concentration of suspended solids, resulting in an efficient visual separation of the microparticles. After been properly separated, the microparticles were characterized according to their size, colour and shape, and a fraction submitted to identification by mu-ATR-FTIR/ATR-FTIR. In all samples, a high presence of microfibers (MF) was observed, corresponding to more than 90% of the microparticles. However, in relation to secondary effluents, only 9% of these MF were identified as plastics, the remaining ones corresponded to cotton. The fragments found in the samples were classified as secondary in origin, and were mainly PE and PP, lower than 1 mm size. es_ES
dc.description.sponsorship Authors thank the Spanish Ministry of Science, Innovation and Universities for the financial support (Reference of the project: RTI2018-096916-B-I00). es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Chemical Engineering Journal es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Activated sludge es_ES
dc.subject Effluents es_ES
dc.subject Microfiber es_ES
dc.subject Microplastic es_ES
dc.subject Wastewater treatment plant es_ES
dc.subject.classification INGENIERIA QUIMICA es_ES
dc.title Separation and identification of microplastics from primary and secondary effluents and activated sludge from wastewater treatment plants es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cej.2020.126293 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096916-B-I00/ES/ELIMINACION E INFLUENCIA DE LOS MICROPLASTICOS Y NANOPLASTICOS EN BIORREACTORES DE MEMBRANA Y EN PROCESOS DE REGENERACION DE AGUAS RESIDUALES CON MEMBRANAS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear es_ES
dc.description.bibliographicCitation Alvim, CB.; Bes-Piá, M.; Mendoza Roca, JA. (2020). Separation and identification of microplastics from primary and secondary effluents and activated sludge from wastewater treatment plants. Chemical Engineering Journal. 402:1-10. https://doi.org/10.1016/j.cej.2020.126293 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.cej.2020.126293 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 10 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 402 es_ES
dc.relation.pasarela S\416009 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
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