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

dc.commentsCEB51981por
dc.contributor.authorLeal, Cristianopor
dc.contributor.authorVal, Angelespor
dc.contributor.authorMesquita, D. P.por
dc.contributor.authorAmaral, A. Luíspor
dc.contributor.authorCastro, Paula M. L.por
dc.contributor.authorFerreira, Eugénio C.por
dc.date.accessioned2019-09-20T17:05:18Z
dc.date.available2019-09-20T17:05:18Z
dc.date.issued2020-03
dc.date.updated2019-09-20T15:51:47Z
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.por
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersion
dc.description.sponsorshipThe authors thank the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469 unit, BioTecNorte operation (NORTE-01-0145-FEDER-000004) funded by the European Regional Development Fund under the scope of Norte2020 – Programa Operacional Regional do Norte and the project AGeNT – PTDC/BTA-BTA/31264/2017 (POCI-01-0145-FEDER031264). We would also like to thank the scientific collaboration under the FCT project UID/Multi/50016/2019. Cristiano Leal is recipient of a fellowship supported by a doctoral advanced training (call NORTE-692015-15) funded by the European Social Fund under the scope of Norte2020 – Programa Operacional Regional do Norte. A. Val del Rio is supported by Xunta de Galicia (ED418B 2017/075) and program Iacobus (2017/2018).por
dc.distributioninternationalpor
dc.identifier.citationLeal, Cristiano; Val, Angeles; Mesquita, Daniela P.; Amaral, A. Luís; Castro, Paula M. L.; Ferreira, Eugénio C., 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), 2020por
dc.identifier.doi10.1016/j.seppur.2019.116049por
dc.identifier.eissn1873-3794por
dc.identifier.issn1383-5866por
dc.identifier.urihttps://hdl.handle.net/1822/61443
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147337/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FBTA-BTA%2F31264%2F2017/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMulti%2F50016%2F2019/PTpor
dc.relation.publisherversionhttps://www.journals.elsevier.com/separation-and-purification-technologypor
dc.rightsopenAccesspor
dc.subjectAerobic granular sludgepor
dc.subjectSludge volume indexpor
dc.subjectQuantitative image analysispor
dc.subjectMultilinear regressionpor
dc.subject.wosScience & Technologypor
dc.titleSludge volume index and suspended solids estimation of mature aerobic granular sludge by quantitative image analysis and chemometric toolspor
dc.typearticle
dspace.entity.typePublicationen
oaire.citationVolume234por
sdum.journalSeparation and Purification Technologypor

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