MONITORING OF WINE PROCESS AND PREDICTION OF ITS PARAMETERS WITH MID-INFRARED SPECTROSCOPY

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dc.authorid0000-0002-2979-2676en_US
dc.authorwosidAGQ-1329-2022en_US
dc.contributor.authorCanal, Canan
dc.contributor.authorOzen, Banu
dc.date.accessioned2023-12-15T11:42:48Z
dc.date.available2023-12-15T11:42:48Z
dc.date.issued2015en_US
dc.departmentMAÜ, Meslek Yüksekokulları, Mardin Meslek Yüksekokulu, Otel Lokanta ve İkram Hizmetleri Bölümüen_US
dc.description.abstractIt was aimed to predict the chemical (ethanol, glycerol, organic acids, titratable acidity, °Brix, sugars, total phenolic and anthocyanin content) and microbiological parameters of red, rose and white wines during their processing from must to bottling using mid-infrared (IR) spectroscopy in combination with one of the multivariate statistical analysis techniques, partial least square (PLS) regression. Various spectral filtering techniques were employed before PLS regression analysis of mid-IR data. The best results were obtained from the second-order derivation for the chemical parameters except for alcohols. PLS models developed for the prediction of some of the chemical parameters have R2 values greater than 0.9, with low root mean square error values; however, prediction of microbial population from mid-IR spectroscopy did not provide accurate results. IR spectroscopic and chemical–chromatographic data were also used to investigate the differences between processing steps, and principal component analysis allowed clear separation of the beginning of the process from the rest.en_US
dc.identifier.doi10.1111/jfpe.12280en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12514/4797
dc.institutionauthorCanal, Canan
dc.language.isoenen_US
dc.relation.ispartofJournal of Food Process Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectwineen_US
dc.subjectmid infrared spectroscopyen_US
dc.subjectwine processen_US
dc.titleMONITORING OF WINE PROCESS AND PREDICTION OF ITS PARAMETERS WITH MID-INFRARED SPECTROSCOPYen_US
dc.typeArticleen_US

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