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dc.contributor.authorSilva, Claudia Pereira da [UNESP]
dc.contributor.authorEmidio, Elissandro Soares [UNESP]
dc.contributor.authorRodrigues de Marchi, Mary Rosa [UNESP]
dc.identifier.citationTalanta. Amsterdam: Elsevier Science Bv, v. 131, p. 221-227, 2015.
dc.description.abstractThis paper describes the validation of a method consisting of solid-phase extraction followed by gas chromatography-tandem mass spectrometry for the analysis of the ultraviolet (UV) filters benzophenone-3, ethylhexyl salicylate, ethylhexyl methoxycinnamate and octocrylene. The method validation criteria included evaluation of selectivity, analytical curve, trueness, precision, limits of detection and limits of quantification. The non-weighted linear regression model has traditionally been used for calibration, but it is not necessarily the optimal model in all cases. Because the assumption of homoscedasticity was not met for the analytical data in this work, a weighted least squares linear regression was used for the calibration method. The evaluated analytical parameters were satisfactory for the analytes and showed recoveries at four fortification levels between 62% and 107%, with relative standard deviations less than 14%. The detection limits ranged from 7.6 to 24.1 ng L-1. The proposed method was used to determine the amount of UV filters in water samples from water treatment plants in Araraquara and Jau in sao Paulo, Brazil. (C) 2014 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFoundation for Science, Technology and Education Support (FACTE)
dc.publisherElsevier B.V.
dc.sourceWeb of Science
dc.subjectUV filtersen
dc.subjectMatrix effecten
dc.subjectWeighted regressionen
dc.titleMethod validation using weighted linear regression models for quantification of UV filters in water samplesen
dcterms.rightsHolderElsevier B.V.
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationSao Paulo State Univ UNESP, Inst Chem, Dept Analyt Chem, BR-14801970 Araraquara, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ UNESP, Inst Chem, Dept Analyt Chem, BR-14801970 Araraquara, SP, Brazil
dc.rights.accessRightsAcesso restrito
dc.description.sponsorshipIdFoundation for Science, Technology and Education Support (FACTE)1018/2012
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Química, Araraquarapt
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