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dc.contributor.advisorPeinerud, E.-
dc.contributor.authorDabrin, A.-
dc.contributor.authorGhestem, J. -P.-
dc.contributor.authorUher, E.-
dc.contributor.authorGonzalez, J. -L.-
dc.contributor.authorSchintu, M.-
dc.contributor.authorMontero, Natalia-
dc.contributor.authorBalaam, J.-
dc.contributor.authorMiege, C.-
dc.contributor.authorCoquery, M.-
dc.contributor.authorAllan, I. J.-
dc.date.accessioned2017-08-23T08:52:06Z-
dc.date.available2017-08-23T08:52:06Z-
dc.date.issued2016-
dc.identifierISI:000368306500001-
dc.identifier.citationENVIRONMENTAL POLLUTION, 2016, 208, 299-308-
dc.identifier.issn0269-7491-
dc.identifier.urihttp://dspace.azti.es/handle/24689/192-
dc.description.abstractPassive sampling devices (PS) are widely used for pollutant monitoring in water, but estimation of measurement uncertainties by PS has seldom been undertaken. The aim of this work was to identify key parameters governing PS measurements of metals and their dispersion. We report the results of an in situ intercomparison exercise on diffusive gradient in thin films (DGT) in surface waters. Interlaboratory uncertainties of time-weighted average (TWA) concentrations were satisfactory (from 28\% to 112\%) given the number of participating laboratories (10) and ultra-trace metal concentrations involved. Data dispersion of TWA concentrations was mainly explained by uncertainties generated during DGT handling and analytical procedure steps. We highlight that DGT handling is critical for metals such as Cd, Cr and Zn, implying that DGT assembly/dismantling should be performed in very clean conditions. Using a unique dataset, we demonstrated that DGT markedly lowered the LOQ in comparison to spot sampling and stressed the need for accurate data calculation. (C) 2015 Elsevier Ltd. All rights reserved.-
dc.description.sponsorshipThe authors thank the French National Agency for Water and Aquatic Environments (ONEMA, via AQUAREF) for providing financial support. We also thank the technical staff of the central laboratories for water analysis: Metrological Reference Laboratory (LNE) for QC solutions, Irstea at Lyon (metals, physical-chemical parameters at Ternay), IFREMER at Sete (physical-chemical parameters at Thau), IFREMER at Nantes (metals at Thau).-
dc.language.isoeng-
dc.publisherELSEVIER SCI LTD-
dc.subjectDGT-
dc.subjectUncertainty-
dc.subjectBlank-
dc.subjectContinental waters-
dc.subjectCoastal waters-
dc.subjectFRESH-WATER-
dc.subjectDIFFUSIVE GRADIENTS-
dc.subjectMONITORING METALS-
dc.subjectTRACE-METALS-
dc.subjectTHIN-FILMS-
dc.subjectDGT-
dc.subjectFRAMEWORK-
dc.subjectSPECIATION-
dc.subjectCOMPLEXES-
dc.subjectSAMPLERS-
dc.titleMetal measurement in aquatic environments by passive sampling methods: Lessons learning from an in situ intercomparison exercise-
dc.typeArticle-
dc.identifier.journalENVIRONMENTAL POLLUTION-
dc.format.page299-308-
dc.format.volume208-
dc.contributor.funderFrench National Agency for Water and Aquatic Environments (ONEMA, via AQUAREF)-
dc.identifier.e-issn1873-6424-
dc.identifier.doi10.1016/j.envpol.2015.08.049-
Aparece en las tipos de publicación: Artículos científicos



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