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

2022Conference paper Restricted access
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dc.contributor.authorQueiroz, Ana
dc.contributor.authorBrito, Paulo
dc.contributor.authorRibeiro, António E.
dc.contributor.authorCarneiro, Eduardo V.
dc.contributor.authorFoureaux, Nathalia S.
dc.date.accessioned2024-04-30T15:23:44Z
dc.date.available2024-04-30T15:23:44Z
dc.date.issued2022
dc.description.abstractEstradiol, also designed as 17-beta-estradiol, belongs to the pharmaceutical class of steroid estrogens and was included in the "Watch List" since 2013 by 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, becomes a major source of their release into different aquatic matrices. This work presents the optimization of an analytical methodology based on solid phase extraction and high-performance liquid chromatography using the response surface methodology to detect and quantify 17-beta-Estradiol in wastewater treatment plant effluents. From a set of 10 studied solvent/mixture compositions, pure methanol was selected as the better choice to use as mobile phase composition for liquid chromatography. The solid phase extraction step was optimized using a three-level Box-Behnken experimental design with sample volume, sample pH, adsorbent drying time and solvent composition in the washing step, as the four factors to be studied. The sample volume of 500 mL, a sample pH value adjusted to a value of 2, an adsorbent drying time of 60 min and the use of 10% of methanol in the adsorbent washing step were the obtained optimized conditions. The pH value was concluded to be the more significant parameter for average recuperations of estradiol higher than 80%. The method validation was performed by monitoring 17-beta-estradiol in real wastewater treatment plant samples, collected from raw affluent, secondary treatment and treated effluent. The methodology was tested successfully, and estradiol was quantified in all the three studied samples.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationQueiroz, Ana; Brito, Paulo; Ribeiro, António E.; Carneiro, Eduardo V.; Foureaux, Nathalia S. (2022). Optimization of estradiol monitoring in raw and treated wastewater samples by response surface methodology. In 22nd International Multidisciplinary Scientific Geoconference: Water Resources. Forest, Marine and Ocean Ecosystems, SGEM 2022. p. 135-143. ISBN 978-619-7603-54-5pt_PT
dc.identifier.doi10.5593/sgem2022V/3.2/s12.16pt_PT
dc.identifier.isbn978-619-7603-54-5
dc.identifier.urihttp://hdl.handle.net/10198/29702
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInternational Multidisciplinary Scientific Geoconferencept_PT
dc.subjectEmerging Contaminantspt_PT
dc.subjectEstradiolpt_PT
dc.subjectWastewaterpt_PT
dc.subjectResponse surface methodologypt_PT
dc.titleOptimization of estradiol monitoring in raw and treated wastewater samples by response surface methodologypt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceVienapt_PT
oaire.citation.endPage144pt_PT
oaire.citation.startPage135pt_PT
oaire.citation.title22nd International Multidisciplinary Scientific Geoconference: Water Resources. Forest, Marine and Ocean Ecosystems, SGEM 2022pt_PT
oaire.citation.volume22pt_PT
person.familyNameQueiroz
person.familyNameBrito
person.familyNameRibeiro
person.givenNameAna
person.givenNamePaulo
person.givenNameAntónio E.
person.identifier.ciencia-id2611-D40C-3472
person.identifier.ciencia-idA31A-D845-A6E2
person.identifier.ciencia-id3211-D5B0-870D
person.identifier.orcid0000-0003-4761-0618
person.identifier.orcid0000-0003-1805-0252
person.identifier.orcid0000-0003-4569-7887
person.identifier.ridO-8367-2015
person.identifier.scopus-author-id31168231800
person.identifier.scopus-author-id23390701300
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication508436a2-5db1-481e-9c48-eab160333d61
relation.isAuthorOfPublication0370deac-dc4e-4b3d-8e1f-fc2d117794d2
relation.isAuthorOfPublication52666376-f100-4407-87ef-dc5df3613761
relation.isAuthorOfPublication.latestForDiscovery52666376-f100-4407-87ef-dc5df3613761

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