WAC 2022 banner
IVES 9 IVES Conference Series 9 WAC 9 WAC 2022 9 3 - WAC - Posters 9 Effects of oak barrel aging monitored by 1H-NMR metabolomics

Effects of oak barrel aging monitored by 1H-NMR metabolomics

Abstract

The study of wine evolution during barrel aging is an important aspect of wine quality. Our previous works have shown that wine metabolome monitoring by

1H-NMR approaches allows determining the impact of different winemaking processes including traitements using enzymes or finning agents [1]. In this study, the effects of oak barrel aging were investigated by 1H-NMR metabolomics. Targeted and untargeted 1H-NMR analyses were performed on wines conserved in barrels provided by four different barrel manufacturers. Wine samples were taken after one and twelve months. The collected data were statistically processed by principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and partial orthogonal least squares discriminant analysis (OPLS-DA). Cross permutation tests and ANOVA were performed to validate the results and determine the compounds significantly impacted. The results of chemometrics analyses show the relevance of 1H-NMR metabolomics for studying the impact of oak barrel aging. The targeted analysis allowed us to identify the compounds that evolved during barrel aging. The untargeted analysis proved to be particularly interesting for the study of the specific signature of each barrel makers. 1H-NMR metabolomics is a rapid method that could be used as a decision support tool for winemaking.

DOI:

Publication date: June 27, 2022

Issue: WAC 2022

Type: Article

Authors

Tristan Richard, Gregory Da Costa, Inès Le Mao

Presenting author

Tristan Richard – Université de Bordeaux, Œnologie EA 4577, USC 1366 INRA, INP, ISVV, 210 chemin de Leysotte, 33882 Villenave d’Ornon, France

Contact the author

Keywords

Barrel aging, NMR, metabolomics, chemiometrics

Tags

IVES Conference Series | WAC 2022

Citation

Related articles…

The use of δ13C as an indicator of water use efficiency for the selection of drought tolerant grapevine varieties

In the context of climate change with increasing evaporative demand, understanding the water use behavior of different grapevine cultivars is of critical importance. Carbon isotope discrimination (δ13C) measurements in wine provide a precise and integrated assessment of the water status of the vines during the sugar accumulation period in grape berries. When collected over multiple vintages on different cultivars, δ13C measurements can also provide insights into the effects of genotype on water use efficiency.

To a better understanding of the impact of vine nitrogen status on volatile thiols from plot to transcriptome level

Volatile thiols contribute largely to the organoleptic characteristics and typicity of Sauvignon blanc wines. Among this family of odorous compounds, 3-sulfanylhexan-1-ol (3SH) and 4-methyl-4-sulfanylpentan-2-one (4MSP) have a major impact on wine flavor. These thiols are formed during alcoholic fermentation by the yeast from odorless and non-volatile precursors found in the berry and the must. The effect of vine nitrogen status on 3SH and 4MSP in Sauvignon blanc wine and on the glutathionylated and cysteinylated precursors of 3SH (Glut-3SH and Cys-3SH) was investigated in this study.

Adaptation of Lactobacilli towards low ph and SO2 to develop MLF in base musts for sparkling wines

In some white wines, malolactic fermentation (MLF) is very interesting, and for low pH wines this process is particularly difficult. Although MLF is generally not recommended for sparkling white wine, some winemakers prefer to promote MLF to contribute to organoleptic complexity. Oenococcus oeni is generally the bacterium of choice for MLF.

VITIGEOSS Business Service: Task scheduling optimization in vineyards

Agriculture plantations are complex systems whose performance critically depends on the execution of several types of tasks with precise timing and efficiency to respond to different external factors. This is particularly true for orchards like vineyards, which need to be strictly monitored and regulated, as they are sensitive to diverse types of pests, and climate conditions. In these environments, managing and optimally scheduling the available work force and resources is not trivial and is usually done by teams of senior managers based on their experience. In this regard, having a baseline schedule could help them in the decision process and improve their results, in terms of time and resources spent.

A predictive model of spatial Eca variability in the vineyard to support the monitoring of plant status

[lwp_divi_breadcrumbs home_text="IVES" use_before_icon="on" before_icon="||divi||400" module_id="publication-ariane" _builder_version="4.19.4" _module_preset="default" module_text_align="center" module_font_size="16px" text_orientation="center"...