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dc.contributor.authorCompanys Ferran, Encarnació
dc.contributor.authorGalceran i Nogués, Josep
dc.contributor.authorPinheiro, Jose Paulo
dc.contributor.authorPuy Llorens, Jaume
dc.contributor.authorSalaün, Pascal
dc.date.accessioned2018-10-31T11:39:54Z
dc.date.available2019-09-27T22:27:01Z
dc.date.issued2017
dc.identifier.issn2451-9103
dc.identifier.urihttp://hdl.handle.net/10459.1/65018
dc.description.abstractTrace metal speciation is key to understand/predict bioavailability and potential toxicity of metals to biota and will, undoubtedly, be incorporated in future regulations. Electroanalytical methods have a role to play in such development: they offer a wide range of advantages such as speed, portability, economy, solid interpretation backgrounds and low limits of quantification. This review focusses on three selected stripping techniques: Competitive-Ligand Exchange - Cathodic Stripping Voltammetry (CLE-CSV), Scanned Stripping Chrono-Potentiometry (SSCP) and AGNES (Absence of Gradients and Nernstian Equilibrium Stripping) reporting their working principles, characteristics (strong and weak points) and recent applications to systems of environmental relevance (such as seawaters, freshwaters or soil extracts).
dc.description.sponsorshipThe authors from the Universitat de Lleida gratefully acknowledge financial support from the Spanish Ministry MINECO (Project CTM2016-78798).
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relationMINECO/PN2013-2016/CTM2016-78798
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.coelec.2017.09.007
dc.relation.ispartofCurrent Opinion in Electrochemistry, 2017, vol. 3, núm. 1, p. 144-162
dc.rightscc-by-nc-nd (c) Elsevier, 2017
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSpeciation
dc.subjectElectroanalysis
dc.subjectElectrochemistry
dc.subjectAvailability
dc.titleA review on electrochemical methods for trace metal speciation in environmental media
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2018-10-31T11:39:56Z
dc.identifier.idgrec026111
dc.type.versionacceptedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.1016/j.coelec.2017.09.007


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cc-by-nc-nd (c) Elsevier, 2017
Except where otherwise noted, this item's license is described as cc-by-nc-nd (c) Elsevier, 2017