Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5981
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dc.contributor.authorŞen, İlknur-
dc.contributor.authorÖztürk, Burcu-
dc.contributor.authorTokatlı, Figen-
dc.contributor.authorÖzen, Banu-
dc.date.accessioned2017-07-21T07:29:43Z-
dc.date.available2017-07-21T07:29:43Z-
dc.date.issued2016-12-01-
dc.identifier.citationŞen, İ., Öztürk, B., Tokatlı, F., and Özen, B. (2016). Combination of visible and mid-infrared spectra for the prediction of chemical parameters of wines. Talanta, 161, 130-137. doi:10.1016/j.talanta.2016.08.057en_US
dc.identifier.issn0039-9140-
dc.identifier.issn1873-3573-
dc.identifier.urihttp://doi.org/10.1016/j.talanta.2016.08.057-
dc.identifier.urihttp://hdl.handle.net/11147/5981-
dc.description.abstractRapid and environmentally friendly methods for the prediction of chemical compositions have been an interest in the wine industry. The objective of the study was to show the potentials of combined use of visible and mid-infrared (MIR) spectroscopies to improve the prediction of various chemical compounds of wine as opposed to using mid-infrared range only. Wine samples of twelve grape varieties from two harvest years were analyzed. The chemical composition of wine samples was related to MIR and visible spectra using orthogonal partial least square (OPLS) regression technique. The prediction abilities were tested with crossvalidation and independent validation sets. The coefficient of determination of validation (R2 val) for anthocyanin compounds of red wines were between 0.76 and 0.90, and that for total phenol content was 0.90. Range of R2 val for glycerol, glycerol/ethanol ratio, malic acid, o-coumaric acid and °Brix were between 0.77 and 0.96. The spectral ranges that played significant roles in the predictions were also determined. The validations with independent data sets showed that the combination of visible and MIR ranges with multivariate methods improved the prediction of anthocyanin compounds and total phenols; produced comparable results for the rest of the parameters as MIR. This is the first study in the literature that shows the practical use of visible spectra along MIR. The combined use of these spectral ranges with multivariate models can be applied for the rapid, on-line determination of quality parameters and chemical profiles of wines.en_US
dc.description.sponsorshipIzmir Institute of Technology (2010IYTE07)en_US
dc.language.isoenen_US
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofTalantaen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnthocyaninsen_US
dc.subjectWine compositionen_US
dc.subjectWine analysisen_US
dc.subjectOrthogonal partial least square regressionen_US
dc.subjectChemical compoundsen_US
dc.titleCombination of visible and mid-infrared spectra for the prediction of chemical parameters of winesen_US
dc.typeArticleen_US
dc.authoridTR115454en_US
dc.authoridTR26995en_US
dc.authoridTR44768en_US
dc.institutionauthorŞen, İlknur-
dc.institutionauthorTokatlı, Figen-
dc.institutionauthorÖzen, Banu-
dc.departmentIzmir Institute of Technology. Food Engineeringen_US
dc.identifier.volume161en_US
dc.identifier.startpage130en_US
dc.identifier.endpage137en_US
dc.identifier.wosWOS:000386989500018en_US
dc.identifier.scopus2-s2.0-84983380706en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.talanta.2016.08.057-
dc.identifier.pmid27769388en_US
dc.relation.doi10.1016/j.talanta.2016.08.057en_US
dc.coverage.doi10.1016/j.talanta.2016.08.057en_US
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.cerifentitytypePublications-
crisitem.author.dept03.08. Department of Food Engineering-
crisitem.author.dept03.08. Department of Food Engineering-
Appears in Collections:Food Engineering / Gıda Mühendisliği
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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