Macrowine 2021
IVES 9 IVES Conference Series 9 Wood from barrique: release of phenolic compounds and permeability to oxygen

Wood from barrique: release of phenolic compounds and permeability to oxygen

Abstract

Chemical and sensory changes occurring in red wine during ageing in oak barrique are due to the slow and gradual entrance of oxygen along with a release of ellagic tannin from the wood. Though oxygen can enter the cask through the bunghole, it is not clear the role of permeation through the wood staves as well as the amount of oxygen entering by permeation. The distribution of the released ellagic tannins in the wine ageing is also unknown. The oxygen passing through the bunghole may have a different wine ageing effect compared to the oxygen permeating through the wooden staves owing to the uneven ellagic tannin concentration throughout the wine. This tannin acts as essential oxidation mediator since it prevents the straight oxidation of flavan-3-ol units and anthocyanins in wine ageing. On these bases, the release of phenols was monitored in a model solution where oak wood was soaked. The solution was stored in the dark at 15°C for two weeks and then it was recovered. Samples were drawn at different distance and depth from the wood. The release of phenols was evaluated for further two weeks to mimic the use of the barrique. Moreover, the permeability of oak wood to oxygen was investigated in either dry or wet oak wood. Results showed that higher concentration of tannin occurred near to the wood (vertically placed staves) and close to the bottom of the container, whereas higher concentration of phenols was still revealed following to the second soaking of the staves in the deepest layer of the solution but farther away from the wood. According to the experimental data, the release of tannins followed a gradient towards the bottom of the container probably due to the higher density of the solution. The oxygen transmission rate through dry oak wood approached 5 g m-2 day-1 and it decreased 5-6 times when wet wood was considered. The oxygen inside the barrique could be estimated to about 15 g L-1 year-1 considering the barrique full of wine. Such values appeared by far higher than the values suggested in the updated literature and showed the essential role exerted by the wood tannin in protecting the phenols of red wine from oxidation.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Antonio Tirelli*, Daniela Fracassetti, Luciano Piergiovanni, Stefano Farris

*DeFENS-Università degli Studi di Milano

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Effect of mixed Torulaspora delbrueckii-Saccharomyces cerevisiae culture on rose quality wine

Alcoholic fermentation using no Saccharomyces wine is an effective means of modulating wine aroma. This study investigated the impact of coinoculating Torulaspora delbruecki with two Saccharomyces cerevisiae commercial yeast (QA23, Lallemand; Red Fruit, Sepsa-Enartis) on enological quality parameters, volatile composition and sensory analysis. The following assays were performed on Tempranillo variety: Saccharomyces QA23 (CTQA), Saccharomyces Red Fruit (CTRF), coinoculated T. delbrueckii + S.cerevisiae QA23 (CIQA) and coinoculated T. delbrueckii + S.cerevisiae (CIRF).

Analysis of off flavours in grapes infected with the fungal bunch rot pathogens, Aspergillus, Botrytis and Pencillium

Fungal bunch rots of grapes cause major losses to grape yield worldwide, yet the impact these moulds have on grape and wine quality is not well characterised. We sought to investigate the formation of unwanted volatile compounds of fungal origin in both synthetic grape juice culture media and in inoculated grape berries. Botrytis cinerea, Aspergillus niger, Aspergillus carbonarius, or Pencillium expansum were grown in synthetic grape juice medium and the culture homogenates analysed 4 and 7 days post inoculation. HS-SPME-GC-MS analysis of the culture homogenates 4 days post inoculation demonstrated that each of the fungi examined produced varying quantities of the mushroom or fungus-like aroma compounds, 1-Octen-3-ol, 1-Octen-3-one and 3-Octanone with A. carbonarius producing up to ten times the amounts of all three metabolites per mg of dry mycelium.

Anthropogenic factors in modulations of fungal populations from grapes to wines and their repercussions on wine characteristics

The effects of anthropogenic activities on vineyard (different plant protections) and in winery
(pressing/clarification step, addition of sulfur dioxide) on fungal populations from grape to wine were studied. The studied anthropogenic activities modify the fungal diversity. Thus, lower biodiversity of grapes from organic modality was measured for the three vintages considered compared to biodiversity from ecophyto modality and conventional modality. The pressing / clarification steps strongly modify fungal populations and the influence of the winery flora is highlighted.

Characterization of non-Saccharomyces yeast and its interaction with Saccharomyces cerevisiae with investigation of fermentation kinetics and aromatic composition

[lwp_divi_breadcrumbs home_text="IVES" use_before_icon="on" before_icon="||divi||400" module_id="publication-ariane" _builder_version="4.20.4" _module_preset="default" module_text_align="center" module_font_size="16px" text_orientation="center"...

New molecular evidence of wine yeast-bacteria interaction unraveled by untargeted metabolomic profiling

Bacterial malolactic fermentation (MLF) has a considerable impact on wine quality. The yeast strain used for primary fermentation can consistently stimulate (MLF+ phenotype) or inhibit (MLF- phenotype) malolactic bacteria and the MLF process as a function of numerous winemaking practices, but the molecular evidence behind still remains a mystery. In this study, such evidence was elucidated by the direct comparison of extracellular metabolic profiles of MLF+ and MLF- yeast phenotypes. Untargeted metabolomics combining ultrahigh-resolution FT-ICR-MS analysis, powerful machine learning methods and a comprehensive wine metabolite database, discovered around 800 putative biomarkers and 2500 unknown masses involved in phenotypic distinction.