{ "dc.contributor.author": "Vera Chamorro, Ruben" , "dc.contributor.author": "Zhang, Yanlin" , "dc.contributor.author": "Fontàs Rigau, Clàudia" , "dc.contributor.author": "Almeida, M. Inês G. S." , "dc.contributor.author": "Anticó i Daró, Ma. Enriqueta" , "dc.contributor.author": "Cattrall, Robert W." , "dc.contributor.author": "Kolev, Spas D." , "dc.date.accessioned": "2019-10-09T06:14:41Z" , "dc.date.available": "2019-10-09T06:14:41Z" , "dc.date.issued": "2019-06-15" , "dc.identifier.issn": "0308-8146" , "dc.identifier.uri": "http://hdl.handle.net/10256/17029" , "dc.description.abstract": "The sequential application of a polymer inclusion membrane (PIM), composed of poly(vinylidenefluoride-co-hexafluoropropylene) and the anionic extractant Aliquat 336, and a microporous polytetrafluoroethylene (PTFE) gas-permeable membrane was utilized for the first time to develop a flow analysis (FA) system, for the automatic determination of trace levels of arsenate (As(V)) in drinking water as arsine. The system incorporated a flow-through extraction cell for separation and preconcentration of arsenate and a gas-diffusion cell for the separation of arsine prior to its spectrophotometric determination based on the discoloration of a potassium permanganate solution. Under optimal conditions the FA system is characterized by a limit of detection of 3.0 μg L −1 As(V) and repeatability of 1.8% (n = 5, 25 μg L −1 As(V)) and 2.8% (n = 5, 50 μg L −1 As(V)). The newly developed FA method was successfully applied to the determination of arsenate in drinking water samples in the μg L −1 concentration range" , "dc.description.sponsorship": "The financial support of the Spanish government through research project CTM2016-78798-C2-2-P (AEI/FEDER/UE) is acknowledged. R. Vera acknowledges a grant from Spanish Ministerio de Economía y Competitividad ref. BES-2014-068314. The authors would like to thank the Australian Research Council for financial support of this research (Grant LP100100800)" , "dc.format.mimetype": "application/pdf" , "dc.language.iso": "eng" , "dc.publisher": "Elsevier" , "dc.relation": "MINECO/PE 2016-2018/CTM2016-78798-C2-2-P" , "dc.relation.isformatof": "Versió postprint del document publicat a: https://doi.org/10.1016/j.foodchem.2018.12.122" , "dc.relation.ispartof": "© Food Chemistry, 2019, vol. 283, p. 232-238" , "dc.relation.ispartofseries": "Articles publicats (D-Q)" , "dc.rights": "Tots els drets reservats" , "dc.subject": "Membranes (Tecnologia)" , "dc.subject": "Membranes (Technology)" , "dc.subject": "Arsènic" , "dc.subject": "Arsenic" , "dc.subject": "Aigua potable" , "dc.subject": "Drinking water" , "dc.subject": "Separació (Tecnologia)" , "dc.subject": "Separation (Technology)" , "dc.subject": "Química ambiental -- Tècnica" , "dc.subject": "Environmental chemistry -- Technique" , "dc.title": "Automatic determination of arsenate in drinking water by flow analysis with dual membrane-based separation" , "dc.type": "info:eu-repo/semantics/article" , "dc.rights.accessRights": "info:eu-repo/semantics/embargoedAccess" , "dc.type.version": "info:eu-repo/semantics/publishedVersion" , "dc.identifier.doi": "https://doi.org/10.1016/j.foodchem.2018.12.122" , "dc.identifier.idgrec": "029409" , "dc.contributor.funder": "Ministerio de Economía y Competitividad (Espanya)" , "dc.type.peerreviewed": "peer-reviewed" }