| Literature DB >> 29329227 |
Christopher L Blackford1,2, Eric G Dennis3, Robert A Keyzers4, Claudia Schueuermann5, Robert D Trengove6, Paul K Boss7.
Abstract
A full understanding of the origin, formation and degradation of volatile compounds that contribute to wine aroma is required before wine style can be effectively managed. Fractionation of grapes represents a convenient and robust method to simplify the grape matrix to enhance our understanding of the grape contribution to volatile compound production during yeast fermentation. In this study, acetone extracts of both Riesling and Cabernet Sauvignon grape berries were fractionated and model wines produced by spiking aliquots of these grape fractions into model grape juice must and fermented. Non-targeted SPME-GCMS analyses of the wines showed that several medium chain fatty acid ethyl esters were more abundant in wines made by fermenting model musts spiked with certain fractions. Further fractionation of the non-polar fractions and fermentation of model must after addition of these fractions led to the identification of a mixture of polyunsaturated triacylglycerides that, when added to fermenting model must, increase the concentration of medium chain fatty acid ethyl esters in wines. Dosage-response fermentation studies with commercially-available trilinolein revealed that the concentration of medium chain fatty acid ethyl esters can be increased by the addition of this triacylglyceride to model musts. This work suggests that grape triacylglycerides can enhance the production of fermentation-derived ethyl esters and show that this fractionation method is effective in segregating precursors or factors involved in altering the concentration of fermentation volatiles.Entities:
Keywords: SPME-GCMS; aroma; chromatography; ester; fermentation; fractionation; grapes; triacylglycerides; wine
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Year: 2018 PMID: 29329227 PMCID: PMC6017315 DOI: 10.3390/molecules23010152
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1Concentrations of terpenoid compounds in wines produced after the addition of grape fractions. (a) β-Damascenone; (b) linalool and (c) nerolidol. Values represent the mean concentration of analyte (n = 3); error bars represent the standard error; and different letters denote significant differences between treatments at p < 0.05 using ANOVA followed by Duncan’s new multiple range test. ANOVA was not conducted for β-damascenone as it was only detected in one sample. Lower case = Riesling series. Upper case = Cabernet Sauvignon series.
Figure 2Concentrations of medium chain ethyl esters (MCEE) in wines fermented after addition of grape fractions. (a) Ethyl hexanoate; (b) ethyl octanoate; (c) ethyl decanoate and (d) ethyl dodecanoate. Values represent the mean concentration of analyte relative to the internal standard (n = 3); error bars represent the standard error; and different letters denote significant differences between treatments at p < 0.05 using ANOVA followed by Duncan’s new multiple range test. Lower case = Riesling series. Upper case = Cabernet Sauvignon series.
Figure 3Concentrations of medium chain fatty acids (MCFA) in wines fermented after addition of grape fractions. (a) Hexanoic acid; (b) octanoic acid; (c) decanoic acid and (d) dodecanoic acid. Values represent the mean concentration of analyte relative to the internal standard (n = 3); error bars represent the standard error; and different letters denote significant differences between treatments at p < 0.05 using ANOVA followed by Duncan’s new multiple range test. Lower case = Riesling series. Upper case = Cabernet Sauvignon series.
Figure 4Concentrations of MCEE in wines prepared from model musts spiked with different concentrations of trilinolein. Values represent the mean concentration of analyte (n = 3); error bars are the standard error; and different letters denote significant differences between samples at p < 0.05 using ANOVA followed by Duncan’s new multiple range test. (a) Ethyl hexanoate; (b) ethyl octanoate; (c) ethyl decanoate; (d) ethyl dodecanoate.