Combination of visible and mid-infrared spectra for the prediction of chemical parameters of wines

dc.authorid0000-0002-0428-320X
dc.authorid0000-0003-0123-2236
dc.authorid0000-0003-2643-5523
dc.authorscopusid55817507800
dc.authorscopusid55110763700
dc.authorscopusid23101457000
dc.authorscopusid6603013605
dc.authorwosidÖzen, Banu/D-7493-2013
dc.authorwosidÖZTÜRK, Burcu/ABA-4521-2020
dc.authorwosidTokatli, F./B-6746-2012
dc.contributor.authorŞen, İlknur
dc.contributor.authorÖztürk, Burcu
dc.contributor.authorTokatlı, Figen
dc.contributor.authorÖzen, Banu
dc.date.accessioned2022-05-11T14:47:28Z
dc.date.available2022-05-11T14:47:28Z
dc.date.issued2016
dc.departmentMeslek Yüksekokulları, Şarköy Meslek Yüksekokulu, Gıda İşleme Bölümü
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 (R-val(2)) for anthocyanin compounds of red wines were between 0.76 and 0.90, and that for total phenol content was 0.90. Range of R-val(2) for glycerol, glycerol/ethanol ratio, malic acid, o-coumaric acid and degrees 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. (C) 2016 Elsevier B.V. All rights reserved.
dc.description.sponsorshipIzmir Institute of TechnologyIzmir Institute of Technology [2010IYTE07]
dc.description.sponsorshipThis research was supported by the Scientific Research Project of Izmir Institute of Technology (2010IYTE07).
dc.identifier.doi10.1016/j.talanta.2016.08.057
dc.identifier.endpage137
dc.identifier.issn0039-9140
dc.identifier.issn1873-3573
dc.identifier.pmid27769388
dc.identifier.scopus2-s2.0-84983380706
dc.identifier.scopusqualityQ1
dc.identifier.startpage130
dc.identifier.urihttps://doi.org/10.1016/j.talanta.2016.08.057
dc.identifier.urihttps://hdl.handle.net/20.500.11776/10500
dc.identifier.volume161
dc.identifier.wosWOS:000386989500018
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorÖztürk, Burcu
dc.language.isoen
dc.publisherElsevier Science Bv
dc.relation.ispartofTalanta
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAnthocyanins
dc.subjectUV-Visible spectroscopy
dc.subjectFourier transform mid-infrared spectroscopy
dc.subjectOrthogonal partial least square regression
dc.subjectWine analysis
dc.subjectWine composition
dc.subjectFt-Mir
dc.subjectInfrared-Spectroscopy
dc.subjectQuality Assessment
dc.subjectRed Wines
dc.subjectGrape
dc.subjectChemometrics
dc.subjectAnthocyanins
dc.subjectSpectrometry
dc.subjectFeasibility
dc.subjectProfiles
dc.titleCombination of visible and mid-infrared spectra for the prediction of chemical parameters of wines
dc.typeArticle

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