Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis

Detalhes bibliográficos
Autor(a) principal: Silva, Sérgio Alves
Data de Publicação: 2022
Outros Autores: Val del Río, Angeles, Amaral, António Luís, Ferreira, Eugénio C., Alves, M. M., Mesquita, D. P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/1822/73798
Resumo: Quantitative image analysis (QIA) was used for monitoring the morphology of activated sludge (AS) during a granulation process and, thus, to define and quantify, unequivocally, structural changes in microbial aggregates correlated with the sludge properties and granulation rates. Two sequencing batch reactors fed with acetate at organic loading rates of 1.1±0.6 kgCOD m3 d1 (R1) and 2.0±0.2 kgCOD m3 d1 (R2) and three minimal imposed sludge settling velocities (0.27mh1, 0.53mh1, and 5.3mh1) induced distinct granulation processes and rates. QIA results evidenced the turning point from flocculation to granulation processes by revealing the differences in the aggregates stratification patterns and quantifying the morphology of aggregates with equivalent diameter (Deq) of 200mDeq650m. Multivariate statistical analysis of the QIA data allowed to distinguish the granulation status in both systems, by clustering the observations according to the sludge aggregation and granules maturation status, and successfully predicting the sludge volume index measured at 5min (SVI5) and 30min (SVI30). These results evidence the possibility of defining unequivocally the granulation rate and anticipating the sludge settling properties at early stages of the process using QIA data. Hence, QIA could be used to predict episodes of granules disruption and hindered settling ability in aerobic granulation sludge processes.
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spelling Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysisAerobic granulation processSequencing batch reactorsImage processingPartial least squaresPrincipal component analysisScience & TechnologyQuantitative image analysis (QIA) was used for monitoring the morphology of activated sludge (AS) during a granulation process and, thus, to define and quantify, unequivocally, structural changes in microbial aggregates correlated with the sludge properties and granulation rates. Two sequencing batch reactors fed with acetate at organic loading rates of 1.1±0.6 kgCOD m3 d1 (R1) and 2.0±0.2 kgCOD m3 d1 (R2) and three minimal imposed sludge settling velocities (0.27mh1, 0.53mh1, and 5.3mh1) induced distinct granulation processes and rates. QIA results evidenced the turning point from flocculation to granulation processes by revealing the differences in the aggregates stratification patterns and quantifying the morphology of aggregates with equivalent diameter (Deq) of 200mDeq650m. Multivariate statistical analysis of the QIA data allowed to distinguish the granulation status in both systems, by clustering the observations according to the sludge aggregation and granules maturation status, and successfully predicting the sludge volume index measured at 5min (SVI5) and 30min (SVI30). These results evidence the possibility of defining unequivocally the granulation rate and anticipating the sludge settling properties at early stages of the process using QIA data. Hence, QIA could be used to predict episodes of granules disruption and hindered settling ability in aerobic granulation sludge processes.The authors thank the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UIDB/ 04469/2020 unit and the project AGeNT PTDC/BTA-BTA/31264/2017 (POCI-01-0145-FEDER-031264). The authors also acknowledge the financial support to S´ergio Alves da Silva through the grant SFRH/BD/ 122623/2016 provided by FCT. A. Val del Rio is supported by Xunta de Galicia (ED418B 2017/075) and program Iacobus (2018/2019).info:eu-repo/semantics/publishedVersionElsevierUniversidade do MinhoSilva, Sérgio AlvesVal del Río, AngelesAmaral, António LuísFerreira, Eugénio C.Alves, M. M.Mesquita, D. P.20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/73798engSilva, Sérgio A.; Val del Río, Angeles; Amaral, A. Luís; Ferreira, Eugénio C.; Alves, M. Madalena; Mesquita, Daniela P., Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis. Chemosphere, 286, Part 2(131637), 20221879-129810.1016/j.chemosphere.2021.13163734340113https://www.sciencedirect.com/science/article/pii/S0045653521021093info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T05:01:49Zoai:repositorium.sdum.uminho.pt:1822/73798Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:55:30.137141Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis
title Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis
spellingShingle Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis
Silva, Sérgio Alves
Aerobic granulation process
Sequencing batch reactors
Image processing
Partial least squares
Principal component analysis
Science & Technology
title_short Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis
title_full Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis
title_fullStr Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis
title_full_unstemmed Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis
title_sort Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis
author Silva, Sérgio Alves
author_facet Silva, Sérgio Alves
Val del Río, Angeles
Amaral, António Luís
Ferreira, Eugénio C.
Alves, M. M.
Mesquita, D. P.
author_role author
author2 Val del Río, Angeles
Amaral, António Luís
Ferreira, Eugénio C.
Alves, M. M.
Mesquita, D. P.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Silva, Sérgio Alves
Val del Río, Angeles
Amaral, António Luís
Ferreira, Eugénio C.
Alves, M. M.
Mesquita, D. P.
dc.subject.por.fl_str_mv Aerobic granulation process
Sequencing batch reactors
Image processing
Partial least squares
Principal component analysis
Science & Technology
topic Aerobic granulation process
Sequencing batch reactors
Image processing
Partial least squares
Principal component analysis
Science & Technology
description Quantitative image analysis (QIA) was used for monitoring the morphology of activated sludge (AS) during a granulation process and, thus, to define and quantify, unequivocally, structural changes in microbial aggregates correlated with the sludge properties and granulation rates. Two sequencing batch reactors fed with acetate at organic loading rates of 1.1±0.6 kgCOD m3 d1 (R1) and 2.0±0.2 kgCOD m3 d1 (R2) and three minimal imposed sludge settling velocities (0.27mh1, 0.53mh1, and 5.3mh1) induced distinct granulation processes and rates. QIA results evidenced the turning point from flocculation to granulation processes by revealing the differences in the aggregates stratification patterns and quantifying the morphology of aggregates with equivalent diameter (Deq) of 200mDeq650m. Multivariate statistical analysis of the QIA data allowed to distinguish the granulation status in both systems, by clustering the observations according to the sludge aggregation and granules maturation status, and successfully predicting the sludge volume index measured at 5min (SVI5) and 30min (SVI30). These results evidence the possibility of defining unequivocally the granulation rate and anticipating the sludge settling properties at early stages of the process using QIA data. Hence, QIA could be used to predict episodes of granules disruption and hindered settling ability in aerobic granulation sludge processes.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/73798
url https://hdl.handle.net/1822/73798
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Silva, Sérgio A.; Val del Río, Angeles; Amaral, A. Luís; Ferreira, Eugénio C.; Alves, M. Madalena; Mesquita, Daniela P., Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis. Chemosphere, 286, Part 2(131637), 2022
1879-1298
10.1016/j.chemosphere.2021.131637
34340113
https://www.sciencedirect.com/science/article/pii/S0045653521021093
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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