Abstract

This research quantified 46 volatile compounds in vintage wines (1998–2005) from British Columbia (BC), which had been bottle-aged for up to 120 months. Wines were analyzed up to five times, between December 2003 and October 2008. Compounds were identified using gas chromatography mass spectrometry (GC-MS) and their concentrations were related to “wine age” using single linear regression (SLR). SLR models were developed for each wine compound (eight alcohol, 12 ester/acetate, one acid, one aldehyde, one sulfur) in eight varietal wines: six red (Cabernet franc, Cabernet Sauvignon, Meritage, Merlot, Pinot noir, Syrah) and two white (Chardonnay, Pinot gris). Parameter estimates (b0, intercept; b1, slope) and R2 values for models were reported for each compound and each variety. Most of the significant SLR models (109/123) had negative slopes (−b1 coefficients), indicating a decrease in the compounds’ concentration with “wine age”. The b1 coefficients were very small for isobutyl acetate, ethyl isovalerate and ethyl decanoate (−0.00013 to −0.0006 mg/L/mon) and largest (most negative) for 3-methyl-1-butanol, ethyl lactate and isobutyl alcohol (−2.26 to −6.26 mg/L/mon). A few SLR models (14/123) had positive slopes (+b1 coefficients), indicating an increase in the compounds’ concentration with “wine age”, particularly for acetaldehyde, diethyl succinate, ethyl formate and dimethyl sulfide. The +b1 coefficients were smallest for ethyl decanoate (0.0001 mg/L/mon) and dimethyl sulfide (0.00024 mg/L/mon) and largest for dimethyl succinate and acetaldehyde (0.06 mg/L/mon). These values varied by four orders of magnitude (104), reflecting the large concentration range observed for the different volatile compounds. The work provided, for the first time, an empirical (non-theoretical) approach to documenting the evolution of volatile compounds in BC wines. It equipped the industry with an easy-to-use new tool for predicting the concentration of desirable or undesirable compounds in their wines and assisted the industry with decision making regarding the release of their wines into the marketplace.

Highlights

  • The age of wine has widespread interest among wine enthusiasts and professionals alike.Wine enthusiasts are interested in optimizing their enjoyment and maintaining the quality of their investments, while wine professionals seek to achieve the highest possible wine quality for the longest period of time.Beverages 2019, 5, 57; doi:10.3390/beverages5030057 www.mdpi.com/journal/beveragesWine Folly [1] has categorized the aging potential of wines based on the price and type.They identify that “cheap” wines have an aging potential of ~12–16 months, while fine white and red wines can be aged for ~10 and ~20 years, respectively

  • A total of 15 wineries shipped their wines to the Wine Research Centre (WRC) at the University of British Columbia (UBC) (Vancouver, BC, Canada), consisting of red and white BC wines

  • All 48 of the significant single linear regression (SLR) for the alcoholic compounds had negative (−) b1 coefficients, indicating that all compounds declined in concentration over time, for all wines

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Summary

Introduction

Wine Folly [1] has categorized the aging potential of wines based on the price and type They identify that “cheap” wines have an aging potential of ~12–16 months, while fine white and red wines can be aged for ~10 and ~20 years, respectively. The aging of a wine starts after fermentation, when the wine is exposed to O2 , and continues after bottling when the wine is not exposed to O2 —that is once the O2 picked up during bottling is consumed [2] During this time, the wine components change and integrate with one another, via a diverse collection of chemical reactions such as: acid reduction, ester formation, ester degradation, oxidation of alcohols and amino acids, and condensation of acetaldehyde with polyphenols, polymerization of phenolic compounds [2]

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