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Molecules


Title:GC-FID-MS Based Metabolomics to Access Plum Brandy Quality
Author(s):Ivanovic S; Simic K; Tesevic V; Vujisic L; Ljekocevic M; Godevac D;
Address:"National Institute of the Republic of Serbia, Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Njegoseva 12, 11000 Belgrade, Serbia. Faculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia. Zaric Distillery, Maksima Markovica 42, 31260 Kosjeric, Serbia"
Journal Title:Molecules
Year:2021
Volume:20210305
Issue:5
Page Number: -
DOI: 10.3390/molecules26051391
ISSN/ISBN:1420-3049 (Electronic) 1420-3049 (Linking)
Abstract:"Plum brandy (Slivovitz (en); Sljivovica(sr)) is an alcoholic beverage that is increasingly consumed all over the world. Its quality assessment has become of great importance. In our study, the main volatiles and aroma compounds of 108 non-aged plum brandies originating from three plum cultivars, and fermented using different conditions, were investigated. The chemical profiles obtained after two-step GC-FID-MS analysis were subjected to multivariate data analysis to reveal the peculiarity in different cultivars and fermentation process. Correlation of plum brandy chemical composition with its sensory characteristics obtained by expert commission was also performed. The utilization of PCA and OPLS-DA multivariate analysis methods on GC-FID-MS, enabled discrimination of brandy samples based on differences in plum varieties, pH of plum mash, and addition of selected yeast or enzymes during fermentation. The correlation of brandy GC-FID-MS profiles with their sensory properties was achieved by OPLS multivariate analysis. Proposed workflow confirmed the potential of GC-FID-MS in combination with multivariate data analysis that can be applied to assess the plum brandy quality"
Keywords:Alcoholic Beverages/*analysis/microbiology Fermentation Food Analysis/*methods/statistics & numerical data Gas Chromatography-Mass Spectrometry/*methods/statistics & numerical data Humans Metabolomics/*methods/statistics & numerical data Multivariate Anal;
Notes:"MedlineIvanovic, Stefan Simic, Katarina Tesevic, Vele Vujisic, Ljubodrag Ljekocevic, Marko Godevac, Dejan eng 451-03-68/2020-14/200026/Ministarstvo Prosvete, Nauke i Tehnoloskog Razvoja/ Switzerland 2021/04/04 Molecules. 2021 Mar 5; 26(5):1391. doi: 10.3390/molecules26051391"

 
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