IVAS 2022 banner
IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Exploring and unravelling the complex toasted oak wood (Q. sp.) volatilome using GCxGC-TOFMS technique

Exploring and unravelling the complex toasted oak wood (Q. sp.) volatilome using GCxGC-TOFMS technique

Abstract

For coopers, toasting process is considered as a crucial step in barrel production where oak wood develops several specific aromatic nuances released to the wine during its maturation. Toasting is applying varying degrees of heat to a barrel over a specific amount of time. Today it is well known that as the temperature increases, thermal degradation of oak wood structure produces a huge range of chemical compounds. Indeed, many works were conducted to identify key aroma volatile compounds (e.g., whisky-lactone, furfural, maltol, eugenol, guaiacol, vanillin) using the traditional gas chromatography coupled with olfactometry and mass spectrometry (GC-O-MS).

Inspired by recent untargeted approaches in food “omics”, this work aims at expanding our knowledge on oak wood volatile composition by bi-dimensional comprehensive gas chromatography-time of flight mass spectrometry (GCxGC-TOFMS, BT4D, Leco).

In a first experiment, five toasting levels were selected and applied to Q. sessilis oak wood samples (control, 160 °C, 180 °C, 200 °C and 220 °C, 30 min, n=3). Organic extracts were prepared (dichloromethane, 50 g/L) and analysed by GCxGC-TOFMS on conventional column combination nonpolar/midpolar (DB-5ms/Rxi-17Sil). The separation was followed by a non-targeted approach for data processing. The resulting mass spectra (TIC) were de convoluted (ChromaTOF software) and compared to spectra from a database for tentative peak identification. It was necessary to restrict the number of processed peaks by applying some “filters” such as signal to noise (S/N > 50), linear retention index (LRI ± 30), mass spectra similarity (> 750) and repeatability level. Supervised multivariate and univariate statistical approaches were used to identify potential markers of toasting intensity. Thanks to R script, reproducible peaks number was reduced from about 15000 to 568. By comparing observed retention indices with those found in the literature, 77 of the identifications have been confirmed and associated with an increase in toasting intensity. Some of them were sensory active and well known in oak wood, such as guaiacol, creosol and isoeugenol. Others were identified for the first time in toasted oak wood such as 2-methylbenzofurane (burnt) and 2-hydroxy-2-cyclopenten-1-one (caramel).Additional results were also discussed on the capability of GCxGC-TOFMS to identify oak wood botanic origins (Q. robur, Q. alba

DOI:

Publication date: June 23, 2022

Issue: IVAS 2022

Type: Article

Authors

Courregelongue Marie1,², Albertin Warren1,³, Prida Andrei2 and Pons Alexandre1,²

¹UMR ŒNOLOGIE (OENO), ISVV, UMR 1366, Université de Bordeaux, INRAE, Bordeaux INP
²Tonnellerie Seguin Moreau, Merpins, France
³ENSCBP, Bordeaux INP, 33600, Pessac, France

Contact the author

Keywords

non-targeted analysis, GCxGC-TOFMS, oak wood, toasting process, volatile compounds

Tags

IVAS 2022 | IVES Conference Series

Citation

Related articles…

The relationship between wind exposure and viticultural performance of Vitis vinifera L. cv. Merlot in a coastal vineyard (South Africa)

The South Western Cape of South Africa is exposed to strong southerly and south easterly synoptic winds during the growth period of the grapevine. The development of sea breezes in the afternoon is also a phenomenon associated with the ripening period of grapes cultivated in this coastal area. Wind is one of the environmental variables having the greatest spatial variation but the implications of regular exposure to wind for the performance of the grapevine has not yet been determined for vineyards in the South Western Cape. This study was initiated to meet this need.
The study was conducted in a hedge-trellised vineyard of Vitis vinifera L. cv Merlot with north east – south west row direction. Thirty experimental sites, each consisting of 14 vines, were identified as being exposed to wind or sheltered based on hand-held anemometer readings during the 2001/2002 season. Four stationary anemometers were strategically positioned between the thirty sites. Stomatal conductance and leaf temperature were measured with a PP systems porometer. Vegetative and yield measurements were performed during the 2002/2003 season. The t-test of equal variance was used to determine significant differences in measured parameters between exposed and sheltered grapevines.
Stomatal conductance and leaf area were significantly reduced by exposure to wind. This was associated with a significant reduction in the leaf area of primary shoots, related to shorter shoots, but a significant augmentation of secondary shoot leaf number and area. The number of bunches per vine and yield were also reduced for exposed vines. The berry potassium content was significantly increased for exposed grapevines.
This demonstrates that exposure to wind can result in significant within-vineyard, and potentially between-vineyard, variability in grapevine physiology, vegetative growth, yield and berry composition, with implications for wine style and quality.

Influence of vine spacing on water status, productivity, yield and must composition in Tempranillo grapevine under Duero Valley zone conditions

L’objectif de cette étude est analyser l’influence de la densité de plantation sur l’état hydrique (potentiel hydrique), le comportement productif (matière sèche et rendement) et la expression qualitative (poids de baie, degrée Brix, pH, acidité totale, concentration polyphénolique) de la varieté Tempranillo dans la Vallée du Douro, à l’A.O. Cigales.

Chemistry and analysis of key volatile compounds of wine and their precursors in grape

A relatively small number of the many volatile substances of wine, often present at trace
concentrations, are considered as key volatile compounds. These compounds often exist in grapes
under poorly odoriferous or non volatile forms as aroma precursors.

Mechanization of pre-flowering leaf removal under the temperate-climate conditions of Switzerland

Grapevine leaf removal (LR) in the cluster area is typically done between fruit set and cluster closure to create an unfavorable microclimate for fungal diseases, such as Botrytis cinerea and powdery mildew. Grape growers are now turning their attention to pre-flowering LR, which has additional benefits under certain conditions. When applied before flowering, LR strongly affects fruit set and thus the number of berries per cluster. It is therefore a good yield control tool, replacing time-consuming manual cluster thinning (Poni et al. 2006). It also improves berry structure, that is, skin thickness, skin-to-pulp ratio, and berry composition (total soluble solids, titratable acidity, and polyphenols) (Palliotti et al. 2012; Komm and Moyer 2015). By exacerbating competition for assimilates between reproductive and vegetative organs, pre-flowering LR also poses some risks. Excessive yield loss at the same year’s harvest due to a too low fruit set rate is the main concern: intensive pre-flowering LR (100% of the cluster area) can induce up to 50% yield loss in potted vines (Poni et al. 2005). Other parameters, such as cool climatic conditions during flowering, also affect fruit set rate and make it difficult to predict potential yield at harvest. Repeated and overly intensive preflowering LR can have repercussions over time and induce a decline in bud fruiting and plant vigor (Risco et al. 2014).

Characterizing chemical influences of smoke on wine via novel application of 13c-labelled smoke

Smoke impact is an ongoing and growing issue for vintners across the globe, with the west coast of the U.S. and Australia being two of the largest wine industries impacted. Wine has shown to be especially sensitive to smoke exposure, often acquiring off-flavor sensory characteristics, such as “burnt rubber”, “ashy”, or other medicinal off-flavors.1 While several studies have examined the chemical composition of smoke influences on wine, some studies disagree on what compounds are having the largest impact on smell and flavor.2 This study is designed as a bottom-up approach to inventory the chemical compounds derived from smoke from a grassland-like fire that are potentially influencing wine chemical composition.