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Sludge volume index and suspended solids estimation of mature aerobic granular sludge by quantitative image analysis and chemometric tools

dc.contributor.authorLeal, Cristiano
dc.contributor.authorRío, Angeles Val del
dc.contributor.authorMesquita, Daniela P.
dc.contributor.authorAmaral, António L.
dc.contributor.authorCastro, Paula M. L.
dc.contributor.authorFerreira, Eugénio C.
dc.date.accessioned2019-10-11T13:49:37Z
dc.date.available2019-10-11T13:49:37Z
dc.date.issued2019
dc.description.abstractAerobic granular sludge (AGS) is considered a promising technology for wastewater treatment. Furthermore, it is recognized that the stability of the process is related to the balanced growth of the suspended (floccular) and granular fractions. Therefore, the development of adequate techniques to monitor this balance is of interest. In this work the sludge volume index (SVI), volatile suspended solids (VSS) and total suspended solids (TSS) of mature AGS were successfully predicted with multilinear regression (MLR) models using data obtained from quantitative image analysis (QIA) of both fractions (suspended and granular). Relevant predictions were obtained for the SVI (R2 of 0.975), granules TSS (R2 of 0.985), flocs TSS (R2 of 0.971), granules VSS (R2 of 0.984) and flocs VSS (R2 of 0.986). The estimation of the granular fraction ratio from the predicted TSS and VSS was also successful (R2 of 0.985). The predictions help to avoid instability episodes of the AGS system, such as changes in biomass morphology, structure and settling properties.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLeal, C., Val del Río, A., Mesquita, D. P., Amaral, A. L., Castro, P. M. L., & Ferreira, E. C. (2020). Sludge volume index and suspended solids estimation of mature aerobic granular sludge by quantitative image analysis and chemometric tools. Separation and Purification Technology, 234, 116049. https://doi.org/10.1016/j.seppur.2019.116049pt_PT
dc.identifier.doi10.1016/j.seppur.2019.116049pt_PT
dc.identifier.eid85072543283
dc.identifier.eissn1873-3794
dc.identifier.issn1383-5866
dc.identifier.urihttp://hdl.handle.net/10400.14/28350
dc.identifier.wos000491627200059
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationNORTE-01-0145-FEDER-000004
dc.relationCentre for Biotechnology and Fine Chemistry
dc.relationED418B 2017/075
dc.relationAGeNT - Aerobic Granular Sludge technology combined with selected microbial agents to degrade toxic pollutants from wastewater
dc.subjectAerobic granular sludgept_PT
dc.subjectSludge volume indexpt_PT
dc.subjectQuantitative image analysispt_PT
dc.subjectMultilinear regressionpt_PT
dc.titleSludge volume index and suspended solids estimation of mature aerobic granular sludge by quantitative image analysis and chemometric toolspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for Biotechnology and Fine Chemistry
oaire.awardTitleAGeNT - Aerobic Granular Sludge technology combined with selected microbial agents to degrade toxic pollutants from wastewater
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMulti%2F50016%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FBIO%2F04469%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FBTA-BTA%2F31264%2F2017/PT
oaire.citation.titleSeparation and Purification Technologypt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream5876
oaire.fundingStream9471 - RIDTI
person.familyNameVal del Rio
person.familyNameMesquita
person.familyNameCastro
person.givenNameAngeles
person.givenNameDaniela
person.givenNamePaula
person.identifier2013444
person.identifier.ciencia-idA415-AFAC-2069
person.identifier.ciencia-id7C1F-6C72-354A
person.identifier.orcid0000-0002-2637-0072
person.identifier.orcid0000-0002-0421-6736
person.identifier.orcid0000-0001-8841-6606
person.identifier.ridH-8829-2016
person.identifier.ridC-9860-2013
person.identifier.ridM-8241-2013
person.identifier.scopus-author-id37066754000
person.identifier.scopus-author-id24598053100
person.identifier.scopus-author-id7102781782
project.funder.identifierhttp://doi.org/10.13039/501100001871
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
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication099701fc-a8ca-46af-a7f0-669125a1cb7d
relation.isAuthorOfPublicationac0813b9-7330-44d7-8f62-c707fe7475d4
relation.isAuthorOfPublicationf2253992-dc8d-4042-9a0f-597ebcf0a1d6
relation.isAuthorOfPublication.latestForDiscoveryf2253992-dc8d-4042-9a0f-597ebcf0a1d6
relation.isProjectOfPublication1f76a7db-2520-482f-b56b-7e01ea36dd1f
relation.isProjectOfPublication41185161-831e-42bd-b785-5a7ee240a2d2
relation.isProjectOfPublication5a280a06-3c4b-43b4-9e49-b78d0b225870
relation.isProjectOfPublication.latestForDiscovery41185161-831e-42bd-b785-5a7ee240a2d2

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