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Optimization of estradiol monitoring in raw and treated wastewater samples by response surface methodology

dc.contributor.authorQueiroz, Ana
dc.contributor.authorFoureaux, Nathalia S.
dc.contributor.authorCarneiro, Eduardo V.
dc.contributor.authorRibeiro, António E.
dc.contributor.authorBrito, Paulo
dc.date.accessioned2023-01-31T12:17:14Z
dc.date.available2023-01-31T12:17:14Z
dc.date.issued2022
dc.description.abstractThe ever-increasing use of endocrine disruptors compounds (EDCs), through pharmaceuticals such as synthetic estrogens, both in humans as well as in animals, are raising its concentration in the environment. Estradiol, also designed as 17β-Estradiol (see Fig. 1), belongs to the pharmaceutical class of steroid estrogens and was included in the “Watch List” since 2013 the Directive 2013/39/EU due to its potential risk to human health and environment. The low removal efficiency of estrogens by the conventional wastewater treatment plants (WWTPs), becomes a major source of their release into different aquatic matrices. Therefore, the occurrence and, more importantly, the destination of these compounds are matters of utmost importance towards a better public health. The aim of this work is the optimization of solid phase extraction/high performance liquid chromatography (SPE/HPLC) using the response surface methodology (RSM) to detect and quantify 17β-Estradiol in WWTPs effluents.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CIMO (UIDB/00690/2020, UIDP/00690/2020 and EXPL2021CIMO_05-REMPHARM) and SusTEC (LA/P/0007/2021). J.L. Diaz De Tuesta acknowledges the financial support of “Comunidad de Madrid” (Spain) for the individual research grant 2020-T2/AMB-19836.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationQueiroz, Ana; Foureaux, Nathalia S.; Carneiro, Eduardo V.; Ribeiro, António E.; Brito, Paulo (2022). Optimization of estradiol monitoring in raw and treated wastewater samples by response surface methodology. In XXIInd SGEM GeoConference. Viennapt_PT
dc.identifier.urihttp://hdl.handle.net/10198/26705
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationMountain Research Center
dc.relationMountain Research Center
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEstradiolpt_PT
dc.subjectResearch Subject Categories::TECHNOLOGYpt_PT
dc.titleOptimization of estradiol monitoring in raw and treated wastewater samples by response surface methodologypt_PT
dc.typeconference poster
dspace.entity.typePublication
oaire.awardNumberUIDB/00690/2020
oaire.awardNumberUIDP/00690/2020
oaire.awardTitleMountain Research Center
oaire.awardTitleMountain Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00690%2F2020/PT
oaire.citation.conferencePlaceViennapt_PT
oaire.citation.titleXXIInd SGEM GeoConferencept_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameQueiroz
person.familyNameRibeiro
person.familyNameBrito
person.givenNameAna
person.givenNameAntónio E.
person.givenNamePaulo
person.identifier.ciencia-id2611-D40C-3472
person.identifier.ciencia-id3211-D5B0-870D
person.identifier.ciencia-idA31A-D845-A6E2
person.identifier.orcid0000-0003-4761-0618
person.identifier.orcid0000-0003-4569-7887
person.identifier.orcid0000-0003-1805-0252
person.identifier.ridO-8367-2015
person.identifier.scopus-author-id23390701300
person.identifier.scopus-author-id31168231800
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication508436a2-5db1-481e-9c48-eab160333d61
relation.isAuthorOfPublication52666376-f100-4407-87ef-dc5df3613761
relation.isAuthorOfPublication0370deac-dc4e-4b3d-8e1f-fc2d117794d2
relation.isAuthorOfPublication.latestForDiscovery508436a2-5db1-481e-9c48-eab160333d61
relation.isProjectOfPublication29718e93-4989-42bb-bcbc-4daff3870b25
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