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Optimization of bioactive compound’s extraction conditions from beetroot by means of artificial neural networks (ANN)

dc.contributor.authorGuiné, Raquel
dc.contributor.authorMendes, Mateus
dc.contributor.authorGonçalves, Fernando
dc.date.accessioned2019-12-17T14:01:24Z
dc.date.available2019-12-17T14:01:24Z
dc.date.issued2019-12
dc.description.abstractThe present work used an artificial neural network (ANN) model to correlate beetroot extraction conditions with total phenolic compounds (TPC), anthocyanins (ANT) and antioxidant activity (AOA). The input variables were extraction time, type of solvent, solvent volume/sample mass (VMR = volume to mass ratio) and order of extraction. The ANN models produced showed very good accuracy (R>94%), being suitable for data mining using weight analysis techniques. The experiments involved variable conditions: solvents (methanol, ethanol: water and acetone: water), extraction times (15 and 60 min), VMR (5, 10 and 20), order of extract (3 sequential extractions). The TPC were evaluated by the Folin-Ciocalteu method, ANT by the SO 2 bleaching method and AOA following the ABTS method. The experimental results showed that the extracting solutions used in this study exhibited similar extraction efficiency for TPC, but not for AOA. Also, the results allowed concluding that a higher VMR originated extracts with higher amounts of TPC and AOA.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGuiné RPF, Mendes M, Gonçalves F (2019) Optimization of bioactive compound’s extraction conditions from beetroot by means of artificial neural networks (ANN). Agricultural Engineering International: CIGR Journal, 21(4), 216-223pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.19/6042
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectBeetrootpt_PT
dc.subjectPhenolic compoundspt_PT
dc.titleOptimization of bioactive compound’s extraction conditions from beetroot by means of artificial neural networks (ANN)pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage223pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage216pt_PT
oaire.citation.titleAgricultural Engineering International: CIGR Journalpt_PT
oaire.citation.volume21pt_PT
person.familyNamede Pinho Ferreira Guiné
person.givenNameRaquel
person.identifierhttps://scholar.google.pt/citations?user=abFDovIAAAAJ&hl=pt-PT
person.identifier.ciencia-id8B13-5492-0F23
person.identifier.orcid0000-0003-0595-6805
person.identifier.scopus-author-id6603138390
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication59580952-77cc-4e4e-ae90-527a8b994f9f
relation.isAuthorOfPublication.latestForDiscovery59580952-77cc-4e4e-ae90-527a8b994f9f

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