Simultaneous voltammetric determination of heavy metals by use of crown ether-modified electrodes and chemometrics

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RECERCAT Home > Universitat Autònoma de Barcelona > Articles escrits per personal UAB o publicats per la universitat > View document

dc.contributor.author	González-Calabuig, Andreu
dc.contributor.author	Guerrero, David
dc.contributor.author	Serrano i Plana, Núria
dc.contributor.author	Valle Zafra, Manuel del
dc.date	2016
dc.identifier	https://ddd.uab.cat/record/154709
dc.identifier	urn:10.1002/elan.201500512
dc.identifier	urn:oai:ddd.uab.cat:154709
dc.identifier	urn:recercauab:ARE-79663
dc.identifier	urn:scopus_id:84952005049
dc.identifier	urn:wos_id:000374135700002
dc.identifier	urn:oai:egreta.uab.cat:publications/3b415069-953e-476e-b53e-b2303d7f7534
dc.format	application/pdf
dc.language	eng
dc.publisher
dc.relation	Ministerio de Economía y Competitividad CTQ2013-41577-P
dc.relation	Ministerio de Economía y Competitividad CTQ2012-32863
dc.relation	Electroanalysis ; Vol. 28, Issue 4 (April 2016) p. 663-670
dc.rights	open access
dc.rights	Tots els drets reservats.
dc.rights	https://rightsstatements.org/vocab/InC/1.0/
dc.subject	Crown ether-modified sensors
dc.subject	Electrochemical grafting
dc.subject	Heavy metal
dc.subject	Stripping voltammetry
dc.subject	Artificial neural network
dc.title	Simultaneous voltammetric determination of heavy metals by use of crown ether-modified electrodes and chemometrics
dc.type	Article
dc.description.abstract	A three-sensor array consisting of a graphite-epoxy composite electrode (GEC), 4-carboxybenzo-18-crown-6-GEC and 4- carboxybenzo-15-crown-5-GEC was employed for the simultaneous determination of Cd(II), Pb(II) and Hg(II) by differential pulse anodic stripping voltammetry (DPASV). Sensors were firstly studied for the determination of Hg(II); secondly, peak current responses confirmed that all sensors showed differentiated response for the three considered metals. A response model was developed to resolve mixtures of Cd(II), Pb(II) and Hg(II) at the μg L⁻¹ level; Discrete Wavelet Transform was selected as preprocessing tool and artificial neural network used for the modelling of the obtained responses.

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