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• W2738602725 startingPage "37" @default.
• W2738602725 abstract "Here we present a method for the accurate quantification of major volatile metabolites found in different food and beverages, including ethanol, acetic acid and other aroma compounds, using gas chromatography coupled to mass spectrometry (GC-MS). The method is combined with a simple sample preparation procedure using sodium chloride and anhydrous ethyl acetate. The GC-MS analysis was accomplished within 4.75 min, and over 80 features were detected, of which 40 were positively identified using an in-house and a commercialmass spectrometry (MS) library. We determined different analytical parameters of these metabolites including the limit of detection (LOD), limit of quantitation (LOQ) and range of quantification. In order to validate the method, we also determined detailed analytical characteristics of five major fermentation end products including ethanol, acetic acid, isoamyl alcohol, ethyl-L-lactate and, acetoin. The method showed very low technical variability for the measurements of these metabolites in different matrices (<3%) with an excellent accuracy (100% ± 5%), recovery (100% ± 10%), reproducibility and repeatability [Coefficient of variation (CV) 1–10%)]. To demonstrate the applicability of the method, we analysed different fermented products including balsamic vinegars, sourdough, distilled (whisky) and non-distilled beverages (wine and beer)." @default.
• W2738602725 created "2017-07-31" @default.
• W2738602725 creator A5065438252 @default.
• W2738602725 creator A5069919402 @default.
• W2738602725 date "2017-07-26" @default.
• W2738602725 modified "2023-10-06" @default.
• W2738602725 title "Rapid Quantification of Major Volatile Metabolites in Fermented Food and Beverages Using Gas Chromatography-Mass Spectrometry" @default.
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• W2738602725 doi "https://doi.org/10.3390/metabo7030037" @default.
• W2738602725 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5618322" @default.
• W2738602725 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28933773" @default.
• W2738602725 hasPublicationYear "2017" @default.
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