Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/107310
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dc.contributor.authorRenai, Lapoen_US
dc.contributor.authorScordo, Cristina Vanessa Agataen_US
dc.contributor.authorEl Ghadraoui, Ayouen_US
dc.contributor.authorSantana-Viera, Sergioen_US
dc.contributor.authorSantana-Rodríguez, José Juanen_US
dc.contributor.authorOrlandini, Serenaen_US
dc.contributor.authorFurlanetto, Sandraen_US
dc.contributor.authorFibbi, Donatellaen_US
dc.contributor.authorLambropoulou, Dimitraen_US
dc.contributor.authorDel Bubba, Massimoen_US
dc.date.accessioned2021-05-27T07:00:08Z-
dc.date.available2021-05-27T07:00:08Z-
dc.date.issued2021en_US
dc.identifier.issn0021-9673en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/107310-
dc.description.abstractThis study focused on the Analytical Quality by Design (AQbD) optimization of the chromatographic separation and mass spectrometric detection of a wide group of structurally heterogeneous model pharmaceutical compounds (PhCs) and transformation products (TPs), chosen to cover the challenging issues of the co-presence of compounds characterized by (i) a wide range of physicochemical properties, (ii) the same mass transitions, and (iii) different ionisation modes. Italian consumption of PhCs were also considered as election criteria of target analytes. Octadecyl and pentafluorophenyl stationary phases, acetonitrile/methanol ratios and acidity of the eluents, column temperature, initial organic phase percentage, and elution gradient were investigated by AQbD, aiming at optimizing critical resolutions, sensitivities, and analysis time. Statistically significant models were obtained in most cases with fitting and cross-validation coefficients in the ranges of 0.681-0.998 and 0.514-0.967, respectively. After optimization, the analysis of target analytes was performed in a single chromatographic run, adopting a mixed acquisition mode based on scheduled acquisition windows comprising both single polarity and continuous polarity switching. For most investigated analytes the method provided detection limits in the sub-ng/L to low ng/L range, meeting for macrolides the sensitivity requested by the “Watch List” 2018/840/EU. The optimized method was applied to the direct injection analysis of PhCs and TPs in four wastewater treatment plant (WWTP) effluents and surface water (SW) samples collected in the receiving water bodies. Absolute values of matrix effect were found to be far higher than 20% for most target analytes in most samples. Seventeen PhCs and two TPs were quantified in at least one sample, at the wide concentration range of about 1-3200 ng/L. The most occurring PhCs in both WWTP effluents and SWs were levofloxacin (202-1239 and 100-830 ng/L), furosemide (865-3234 and 230-880 ng/L), ketoprofen (295-1104 and 270-490 ng/L), and ibuprofen (886-3232 and 690-1440 ng/L).en_US
dc.languageengen_US
dc.relationBIOINNOVA (Ministero dell' Ambiente e della Tutela del Territorio e del Mare)en_US
dc.relation.ispartofJournal of Chromatography Aen_US
dc.sourceJournal Of Chromatography A [ISSN 0021-9673], v. 1649, 462225 (Julio 2021)en_US
dc.subject2301 química analíticaen_US
dc.subject.otherLC-MS/MSen_US
dc.subject.otherAnalytical quality by designen_US
dc.subject.otherScheduled polarity switchingen_US
dc.subject.otherMatrix effecten_US
dc.subject.otherTransformation productsen_US
dc.subject.otherAntibioticsen_US
dc.titleQuality by design optimization of a liquid chromatographic-tandem mass spectrometric method for the simultaneous analysis of structurally heterogeneous pharmaceutical compounds and its application to the rapid screening in wastewater and surface water samples by large volume direct injectionen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.chroma.2021.462225en_US
dc.identifier.scopus85106610046-
dc.contributor.orcid0000-0002-0738-7901-
dc.contributor.orcidNO DATA-
dc.contributor.orcid0000-0002-5494-036X-
dc.contributor.orcid0000-0002-2412-0037-
dc.contributor.orcidNO DATA-
dc.contributor.orcid0000-0002-6000-5079-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcid0000-0002-6326-6549-
dc.contributor.authorscopusid57195407331-
dc.contributor.authorscopusid57204352415-
dc.contributor.authorscopusid57223965032-
dc.contributor.authorscopusid56971376800-
dc.contributor.authorscopusid57224082358-
dc.contributor.authorscopusid57208873731-
dc.contributor.authorscopusid7005821471-
dc.contributor.authorscopusid37097084900-
dc.contributor.authorscopusid6701867257-
dc.contributor.authorscopusid57223958900-
dc.identifier.eissn1873-3778-
dc.relation.volume1649en_US
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateJulio 2021en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-BASen_US
dc.description.sjr0,813
dc.description.jcr4,601
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
dc.description.miaricds11,0
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUNAT: Análisis Químico Medioambiental-
crisitem.author.deptIU de Estudios Ambientales y Recursos Naturales-
crisitem.author.deptGIR IUNAT: Análisis Químico Medioambiental-
crisitem.author.deptIU de Estudios Ambientales y Recursos Naturales-
crisitem.author.deptDepartamento de Química-
crisitem.author.orcid0000-0002-2412-0037-
crisitem.author.orcid0000-0002-5635-7215-
crisitem.author.parentorgIU de Estudios Ambientales y Recursos Naturales-
crisitem.author.parentorgIU de Estudios Ambientales y Recursos Naturales-
crisitem.author.fullNameSantana Viera, Sergio-
crisitem.author.fullNameSantana Rodríguez, José Juan-
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