Macrowine 2021
IVES 9 IVES Conference Series 9 Influence of toasting oak wood on ellagitannin structures

Influence of toasting oak wood on ellagitannin structures

Abstract

Ellagitannins (ETs) have been reported to be the main phenolic compounds found in oak wood. These compounds, belonging to the hydrolysable tannin class of polyphenols, are esters of hexahydroxydiphenic acid (HHDP) and a polyol, usually glucose or quinic acid. They own their name to their capacity to be hydrolysed and liberate ellagic acid and they have an impact on astringency and bitterness sensation, which is strongly dependant on their structure. The toasting phase is particularly crucial in barrels fabrication and influences wood composition. Burning the inner oak wood barrels surface with an open fire inducing severe changes in ellagitannins structures and compositions. Up to now thermal ellagitannin products or the reaction mechanisms underlying the ellagitannin degradation are not well searched, thus the goal of the present study is to research oak wood ellagitannin changes during toasting. For this purpose a purification protocol was established, 100 mg ellagitannins crude extract was fractionated on Toyopearl TSK HW-40 (F) gel from Tosoh Corp, ellagitannins were eluted in the acetone/water fraction. This fraction was fractionated for two times on a C-18 column. The final fraction containing only the eight principal ellagitannins was dry-heated in a lab oven for 60 min at 220 °C. After cooling, it was further fractionated on C-18 column and separated by means of preparative HPLC before being injected in UPLC/TOF-MS. Reduction process is occuring during toasting whereas oxydation can occur without heating; Thus vescalagin, is reduced into deoxyvescalagin whereas castalagin oxidation form is presented before and after toasting. Additionally to deoxyvescalagin, other ellagitannin derivatives which showed [M-H]-ion peak at m/z 1055.0631, 1041.0792, 1011.0756 and 971.0456 were produced by the toasting and identified for the first time. LC-MS/MS analyses gave strong evidence that decarboxylations as well as ellagic acid loss are the key steps in ellagitanin thermal degradation.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Kleopatra Chira*, Michael Jourdes, Pierre Louis Teissedre

*Institut des sciences de la vigne et du vin

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Effects of a new vacuum evaporation method on chemical and sensory properties of must and wine

A new process for vacuum evaporation was developed where evaporation takes place near the inner surface of a vortex produced by a rotor submerged in the liquid. Contrary to the state of the art the Vortex rotor process does not need a vacuum vessel but the rotating liquid creates a geometrically stable low pressure void surrounded by a vortex stabilized by the equilibrium between centrifugal forces and the pressure difference. First tests with water and sugar solutions at concentrations similar to grape must were conducted to verify the theoretical predictions, test the performance under different conditions and study the effect of various process parameters (Rösti et al 2015).

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"...

Estimation of chemical age of red wines with the use of Fourier transform infrared spectroscopy (FT-IR) and chemometrics

The color of a red wine is one of the most important parameters of its quality, giving much information on its status, such as the grape variety used or the winemaking style. As the result of a complex equilibrium between different forms of anthocyanins and polymerization reactions which occur over the course of time, color can also serve as an indication of a wines’ age. For this purpose the “chemical age” i and ii indexes have been introduced by Somers in 1977. The chemical age index i measures the color absorbance after the addition of acetaldehyde while chemical index ii provides an indication of how much of the total red pigments are resistant to SO2 bleaching.

Nitrogen – Lipid Balance in alcoholic fermentations. Example of Champagne musts

Nutrient availability – nitrogen, lipids, vitamins or oxygen – has a major impact on the kinetics of winemaking fermentations. Nitrogen is usually the growth-limiting nutrient and its availability determines the fermentation rate, and therefore the fermentation duration. In some cases, in particular in Champagne, grape musts have high nitrogen concentrations and are sometimes clarified with turbidity below 50 NTU. In these conditions, lipid deficiencies may occur and longer fermentations can be observed. To better understand this situation, a study was realized using a synthetic medium simulating the composition of a Champagne must : 180 g/L of sugar, 360 mg/L of assimilable nitrogen and a lipid content ranging from 1 to 8 mg/L of phytosterols (mainly β-sitosterol).

Evaluation of Polarized Projective Mapping as a possible tool for attributing South African Chenin blanc dry wine styles

Multiple Factor Analysis (MFA) According to the Chenin blanc Association of South Africa, there are three recognized dry wine styles, Fresh and Fruity (FF), Rich and Ripe Unwooded (RRU), and Rich and Ripe Wooded (RRW), classically attributed with the help of sensory evaluation. One of the “rapid methods” has drawn our attention for the purpose of simplifying and making style attribution for large sample sets, evaluated during different sessions, more robust. Polarized Projective Mapping (PPM) is a hybrid of Projective Mapping (PM) and Polarised Sensory Positioning (PSP). It is a reference-based method in which poles
(references) are used for the evaluation of similarities and dissimilarities between samples.