Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5981
Title: Combination of visible and mid-infrared spectra for the prediction of chemical parameters of wines
Authors: Şen, İlknur
Öztürk, Burcu
Tokatlı, Figen
Özen, Banu
Keywords: Anthocyanins
Wine composition
Wine analysis
Orthogonal partial least square regression
Chemical compounds
Issue Date: 1-Dec-2016
Publisher: Elsevier Ltd.
Source: Şen, 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.2016.08.057
Abstract: Rapid 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.
URI: http://doi.org/10.1016/j.talanta.2016.08.057
http://hdl.handle.net/11147/5981
ISSN: 0039-9140
1873-3573
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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