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UV spectrophotometry method for the monitoring of galacto-oligosaccharides production

2009Journal article Open access
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dc.contributor.authorDias, L.G.
dc.contributor.authorVeloso, Ana C.A.
dc.contributor.authorCorreia, Daniela M.
dc.contributor.authorRocha, Orlando
dc.contributor.authorTorres, Duarte
dc.contributor.authorRocha, Isabel
dc.contributor.authorRodrigues, Lígia R.
dc.contributor.authorPeres, António M.
dc.date.accessioned2009-02-05T15:17:54Z
dc.date.available2009-02-05T15:17:54Z
dc.date.issued2009
dc.description.abstractMonitoring the industrial production of galacto-oligosaccharides (GOS) requires a fast and accurate methodology able to quantify, in real time, the substrate level and the product yield. In this work, a simple, fast and inexpensive UV spectrophotometric method, together with partial least squares regression (PLS) and artificial neural networks (ANN), was applied to simultaneously estimate the products (GOS) and the substrate (lactose) concentrations in fermentation samples. The selected multiple models were trained and their prediction abilities evaluated by cross-validation and external validation being the results obtained compared with HPLC measurements. ANN models, generated from absorbance spectra data of the fermentation samples, gave, in general, the best performance being able to accurately and precisely predict lactose and total GOS levels, with standard error of prediction lower than 13 g kg-1 and coefficient of determination for the external validation set of 0.93–0.94, showing residual predictive deviations higher than five, whereas lower precision was obtained with the multiple model generated with PLS. The results obtained show that UV spectrophotometry allowed an accurate and non-destructive determination of sugars in fermentation samples and could be used as a fast alternative method for monitoring GOS production.en
dc.identifier.citationDias, L.G.; Veloso, Ana C.A.; Correia, Daniela M.; Rocha, Orlando; Torres, Duarte; Rocha, Isabel; Rodrigues, Lígia R.; Peres, António M. (2009) – UV spectrophotometry method for the monitoring of galacto-oligosaccharides production. Food Chemistry. ISSN 0308-8146. 113:1, p. 246-252en
dc.identifier.issn0308-8146
dc.identifier.urihttp://hdl.handle.net/10198/1028
dc.language.isoengen
dc.publisherElsevieren
dc.relationPRODUÇÃO DE GALACTO - OLIGOSSACÁRIDOS E SUA CARACTERIZAÇÃO FÍSICO-QUÍMICA E FUNCIONAL
dc.subjectFermentation processesen
dc.subjectGalacto-oligosaccharidesen
dc.subjectUV spectrophotometeren
dc.subjectPartial least squares regressionen
dc.subjectArtificial neural networksen
dc.titleUV spectrophotometry method for the monitoring of galacto-oligosaccharides productionen
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitlePRODUÇÃO DE GALACTO - OLIGOSSACÁRIDOS E SUA CARACTERIZAÇÃO FÍSICO-QUÍMICA E FUNCIONAL
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBDE%2F15510%2F2004/PT
person.familyNameDias
person.familyNamePeres
person.givenNameLuís G.
person.givenNameAntónio M.
person.identifier107333
person.identifier.ciencia-id2F11-9092-FAAF
person.identifier.ciencia-idCF16-5443-F420
person.identifier.orcid0000-0002-1210-4259
person.identifier.orcid0000-0001-6595-9165
person.identifier.ridI-8470-2012
person.identifier.scopus-author-id23569169900
person.identifier.scopus-author-id7102331969
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
rcaap.typearticleen
relation.isAuthorOfPublicationeac8c166-4056-4ed0-8d8d-7ecb2c4481a5
relation.isAuthorOfPublication7d93be47-8dc4-4413-9304-5b978773d3bb
relation.isAuthorOfPublication.latestForDiscoveryeac8c166-4056-4ed0-8d8d-7ecb2c4481a5
relation.isProjectOfPublication90a1bd7a-6142-4a9d-bb06-f0e36a11a0bf
relation.isProjectOfPublication.latestForDiscovery90a1bd7a-6142-4a9d-bb06-f0e36a11a0bf

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