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Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques

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Resumo:In this study, a sequencing batch reactor (SBR) with aerobic granular sludge (AGS) was operated with synthetic wastewater containing environmental relevant concentrations of 17-estradiol (E2), 17-ethinylestradiol (EE2) and sulfamethoxazole (SMX). Despite the presence of the studied PhAC, the granular fraction clearly predominated (TSSgran/TSS ranging from 0.82 to 0.98) throughout the monitoring period, presenting aggregates with high organic fraction (VSS/TSS above 0.83) and good settling characteristics (SVI5 ranging from 15 to 39 mL/gTSS). A principal component analysis (PCA) with quantitative image analysis (QIA) based data allowed to distinguish the different operational periods, namely with mature granules (CONT), and the E2, EE2, and SMX feeding periods. It further revealed a positive relationship between the biomass density, sludge settling ability, overall and granular biomass contents, granulation properties, granular biomass fraction and large granules fraction and size. Moreover, a discriminant analysis (DA) allowed to successfully discriminate not only the different operational periods, mainly by using the floccular apparent density, granular stratification and contents data, but also the PhAC presence in samples. The filamentous bacteria contents, sludge settling properties, settling properties stability and granular stratification, structure and contents parameters were found to be crucial for that purpose.
Autores principais:Leal, Cristiano
Outros Autores:Lopes, Mariana; Val del Río, Angeles; Quintelas, Cristina; Castro, Paula M. L.; Ferreira, Eugénio C.; Amaral, A. Luís; Mesquita, D. P.
Assunto:17ß-estradiol (E2) 17a-ethinylestradiol (EE2) Sulfamethoxazole (SMX) Aerobic granular sludge (AGS) Biomass structural characterization Multivariate statistical techniques 178-estradiol (E2) 17?-ethinylestradiol (EE2) 17β-estradiol (E2)
Ano:2021
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
_version_ 1866876870886162432
author Leal, Cristiano
author2 Lopes, Mariana
Val del Río, Angeles
Quintelas, Cristina
Castro, Paula M. L.
Ferreira, Eugénio C.
Amaral, A. Luís
Mesquita, D. P.
author2_role author
author
author
author
author
author
author
author_facet Leal, Cristiano
Lopes, Mariana
Val del Río, Angeles
Quintelas, Cristina
Castro, Paula M. L.
Ferreira, Eugénio C.
Amaral, A. Luís
Mesquita, D. P.
author_role author
contributor_name_str_mv Universidade do Minho
country_str PT
creators_json_txt [{\"Person.name\":\"Leal, Cristiano\"},{\"Person.name\":\"Lopes, Mariana\"},{\"Person.name\":\"Val del Río, Angeles\"},{\"Person.name\":\"Quintelas, Cristina\"},{\"Person.name\":\"Castro, Paula M. L.\"},{\"Person.name\":\"Ferreira, Eugénio C.\"},{\"Person.name\":\"Amaral, A. Luís\"},{\"Person.name\":\"Mesquita, D. P.\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Universidade do Minho
datacite.creators.creator.creatorName.fl_str_mv Leal, Cristiano
Lopes, Mariana
Val del Río, Angeles
Quintelas, Cristina
Castro, Paula M. L.
Ferreira, Eugénio C.
Amaral, A. Luís
Mesquita, D. P.
datacite.date.Accepted.fl_str_mv 2021-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2021-04-10T15:00:19Z
datacite.date.embargoed.fl_str_mv 2021-04-10T15:00:19Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv 17ß-estradiol (E2)
17a-ethinylestradiol (EE2)
Sulfamethoxazole (SMX)
Aerobic granular sludge (AGS)
Biomass structural characterization
Multivariate statistical techniques
178-estradiol (E2)
17?-ethinylestradiol (EE2)
17β-estradiol (E2)
datacite.titles.title.fl_str_mv Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques
dc.contributor.none.fl_str_mv Universidade do Minho
dc.creator.none.fl_str_mv Leal, Cristiano
Lopes, Mariana
Val del Río, Angeles
Quintelas, Cristina
Castro, Paula M. L.
Ferreira, Eugénio C.
Amaral, A. Luís
Mesquita, D. P.
dc.date.Accepted.fl_str_mv 2021-01-01T00:00:00Z
dc.date.available.fl_str_mv 2021-04-10T15:00:19Z
dc.date.embargoed.fl_str_mv 2021-04-10T15:00:19Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://hdl.handle.net/1822/71529
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Elsevier
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv 17ß-estradiol (E2)
17a-ethinylestradiol (EE2)
Sulfamethoxazole (SMX)
Aerobic granular sludge (AGS)
Biomass structural characterization
Multivariate statistical techniques
178-estradiol (E2)
17?-ethinylestradiol (EE2)
17β-estradiol (E2)
dc.title.fl_str_mv Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description In this study, a sequencing batch reactor (SBR) with aerobic granular sludge (AGS) was operated with synthetic wastewater containing environmental relevant concentrations of 17-estradiol (E2), 17-ethinylestradiol (EE2) and sulfamethoxazole (SMX). Despite the presence of the studied PhAC, the granular fraction clearly predominated (TSSgran/TSS ranging from 0.82 to 0.98) throughout the monitoring period, presenting aggregates with high organic fraction (VSS/TSS above 0.83) and good settling characteristics (SVI5 ranging from 15 to 39 mL/gTSS). A principal component analysis (PCA) with quantitative image analysis (QIA) based data allowed to distinguish the different operational periods, namely with mature granules (CONT), and the E2, EE2, and SMX feeding periods. It further revealed a positive relationship between the biomass density, sludge settling ability, overall and granular biomass contents, granulation properties, granular biomass fraction and large granules fraction and size. Moreover, a discriminant analysis (DA) allowed to successfully discriminate not only the different operational periods, mainly by using the floccular apparent density, granular stratification and contents data, but also the PhAC presence in samples. The filamentous bacteria contents, sludge settling properties, settling properties stability and granular stratification, structure and contents parameters were found to be crucial for that purpose.
dirty 0
eu_rights_str_mv openAccess
format article
fulltext.url.fl_str_mv https://prod-dspace.uminho.pt/bitstreams/904a167f-5c1e-4ad7-86f0-d446b3d3bfb2/download
id rum_58e4c19082badcccd8e3986dc5227792
identifier.url.fl_str_mv https://hdl.handle.net/1822/71529
instacron_str repositorium
institution Universidade do Minho
instname_str Universidade do Minho
language eng
network_acronym_str rum
network_name_str RepositóriUM - Universidade do Minho
oai_identifier_str oai:repositorium.uminho.pt:1822/71529
organization_str_mv urn:organizationAcronym:repositorium
person_str_mv Leal, Cristiano
Lopes, Mariana
Val del Río, Angeles
Quintelas, Cristina
Castro, Paula M. L.
Ferreira, Eugénio C.
Amaral, A. Luís
Mesquita, D. P.
publishDate 2021
publisher.none.fl_str_mv Elsevier
reponame_str RepositóriUM - Universidade do Minho
repository_id_str urn:repositoryAcronym:rum
service_str_mv urn:repositoryAcronym:rum
spelling engElsevierporIn this study, a sequencing batch reactor (SBR) with aerobic granular sludge (AGS) was operated with synthetic wastewater containing environmental relevant concentrations of 17-estradiol (E2), 17-ethinylestradiol (EE2) and sulfamethoxazole (SMX). Despite the presence of the studied PhAC, the granular fraction clearly predominated (TSSgran/TSS ranging from 0.82 to 0.98) throughout the monitoring period, presenting aggregates with high organic fraction (VSS/TSS above 0.83) and good settling characteristics (SVI5 ranging from 15 to 39 mL/gTSS). A principal component analysis (PCA) with quantitative image analysis (QIA) based data allowed to distinguish the different operational periods, namely with mature granules (CONT), and the E2, EE2, and SMX feeding periods. It further revealed a positive relationship between the biomass density, sludge settling ability, overall and granular biomass contents, granulation properties, granular biomass fraction and large granules fraction and size. Moreover, a discriminant analysis (DA) allowed to successfully discriminate not only the different operational periods, mainly by using the floccular apparent density, granular stratification and contents data, but also the PhAC presence in samples. The filamentous bacteria contents, sludge settling properties, settling properties stability and granular stratification, structure and contents parameters were found to be crucial for that purpose.application/pdfporAssessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniquesLeal, CristianoLopes, MarianaVal del Río, AngelesQuintelas, CristinaCastro, Paula M. L.Ferreira, Eugénio C.Amaral, A. LuísMesquita, D. P.HostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISSNIsPartOf0301-4797DOIIsPartOf10.1016/j.jenvman.2021.1124742021-04-10T15:00:19Z20212021-04-10T10:52:09Z2021-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/71529http://purl.org/coar/access_right/c_abf2open access17ß-estradiol (E2)17a-ethinylestradiol (EE2)Sulfamethoxazole (SMX)Aerobic granular sludge (AGS)Biomass structural characterizationMultivariate statistical techniques178-estradiol (E2)17?-ethinylestradiol (EE2)17β-estradiol (E2)7003421 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/904a167f-5c1e-4ad7-86f0-d446b3d3bfb2/download
spellingShingle Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques
Leal, Cristiano
17ß-estradiol (E2)
17a-ethinylestradiol (EE2)
Sulfamethoxazole (SMX)
Aerobic granular sludge (AGS)
Biomass structural characterization
Multivariate statistical techniques
178-estradiol (E2)
17?-ethinylestradiol (EE2)
17β-estradiol (E2)
status SINGLETON
subject.fl_str_mv 17ß-estradiol (E2)
17a-ethinylestradiol (EE2)
Sulfamethoxazole (SMX)
Aerobic granular sludge (AGS)
Biomass structural characterization
Multivariate statistical techniques
178-estradiol (E2)
17?-ethinylestradiol (EE2)
17β-estradiol (E2)
title Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques
title_full Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques
title_fullStr Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques
title_full_unstemmed Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques
title_short Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques
title_sort Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques
topic 17ß-estradiol (E2)
17a-ethinylestradiol (EE2)
Sulfamethoxazole (SMX)
Aerobic granular sludge (AGS)
Biomass structural characterization
Multivariate statistical techniques
178-estradiol (E2)
17?-ethinylestradiol (EE2)
17β-estradiol (E2)
topic_facet 17ß-estradiol (E2)
17a-ethinylestradiol (EE2)
Sulfamethoxazole (SMX)
Aerobic granular sludge (AGS)
Biomass structural characterization
Multivariate statistical techniques
178-estradiol (E2)
17?-ethinylestradiol (EE2)
17β-estradiol (E2)
url https://hdl.handle.net/1822/71529
visible 1