New acacia gums fractions: how their features affect the foamability of sparkling base wines?

Abstract

When sparkling wine is served, the first attribute perceived is foam1. Bentonite is usually added to wine in order to cause particle flocculation, but this procedure also leads to a drastic loss of foamability2. Acacia gums improve the foamability of some sparkling base wines treated with bentonite3. Acacia gums are already authorized as additives in wine production4. We studied how the addition of new fractions from Acacia gums affected the wines foamability. Our work deepens the relationship between wine foamability and gums fractions properties. Eight sparkling base wines were elaborated by the traditional white winemaking method. Three of them were elaborated in three different regions from Spain: Malaga using Moscatel grapes as well as Saragossa and Tarragona (TA), both using Macabeo grapes. The other five base wines were elaborated in the French region of Champagne using Chardonnay (4) and Pinot noir (1) grapes. They were treated with bentonite, stirred and filtered. Acacia senegal (Asen) and Acacia seyal (Asey) gums were fractionated by Ion Exchange Chromatography giving two high (F1sen and F1sey) and two low (F2sen and F2sey) molar mass fractions. Fractions and sparkling base wines were deeply characterized. Four Acacia gums fractions were separately added to wines (300 mg·L-1), resulting in “supplemented CO-wines”. Based on shaking test, wine was vigorously hand-shaken in closed tubes. The foam height at 5 and every 10 seconds during 90 seconds was measured (all in triplicate). The maximum foam height was improved in 11 out of the 16 supplementations (69%) with F1 fractions, which were the fractions with high protein amount and high molar mass. F1sey and mainly F1sen showed a positive effect improving the foamability in Spanish wines. F1 fractions also increased foamability of French wines, but in a more inefficient and irregular pattern. Moreover, the differentials of foam height (ΔFH) between “supplemented CO-wines” and CO-wines enhanced significantly in all the studied wines at several moments after supplementations with F1 fractions. F2 fractions gave enhancing effect only sporadically. Adding F1sen and F1sey, the foam height showed positive Pearson correlations with, respectively, (i) polysaccharides rich in arabinose and galactose percentage and (ii) the number average molar mass of polysaccharides. But after F1 supplementations, the mannoproteins percentage in base wines affected negatively their foamability. The Proteins %, the hydrophobic score, the volumetric properties, the molar masses, the high molar mass ranges and the content of several amino acids of gums fractions affected positively the foamability in different wines, whereas it was negatively affected by the sugars %.Concluding, sparkling base wine foamabilities strongly depend on the wine and the gum fraction addition, but also on their relationship.

DOI:

Publication date: September 15, 2021

Issue: Macrowine 2021

Type: Article

Authors

Rafael Apolinar-Valiente, Thomas Salmo, Pascale Williams,  Michaël Nigen, Christian Sanchez, Thierry Doco,  Richard Marchal.

UMR-1208/IATE, Montpellier SupAgro, France.LOCA, Université de Reims, France. UMR-1083/SPO, INRAE-Montpellier, France. UMR-1208/IATE, Université Montpellier, France. UMR-1208/IATE, Université Montpellier, France. UMR-1083/SPO, INRAE-Montpellier, France. LVBE, Université de Haute-Alsace, Colmar, France.

Contact the author

Keywords

sparkling base wine; foam; acacia gums; ion exchange chromatography; macromolecules; sec-malls; biochemical properties; structural features

Citation

Related articles…

Evaluation of glutathione content in four white varieties in the d.o. Ca. Rioja (Spain)

Glutathione is a tripeptide that is mainly found in reduced form in grapes. It generates during the maturation of the grape, increasing significantly after veraison [1].

DNA-Free genome editing confers disease resistance in grapevine

Grapevine (Vitis Vinifera L.), one of the most important cultivated fruit crops, is facing significant challenges due to climate change. Specifically, increasing temperatures negatively impact the physiological traits and disrupt plant phenology. Additionally, increased virulence in pathogen attacks and pests leads to significant yield loss, requiring widespread application of plant protection products. Traditional agronomic practices offer only partial mitigation, requiring the development of precise and effective intervention strategies. The economic worth of viticulture has prompted continuous efforts in grapevine genetic improvement programs, traditionally involving conventional breeding and clonal selection that, however, are complex and time-consuming approaches.

Vine performance benchmarking of indigenous Cypriot grape varieties Xynisteri and Maratheftiko

Aim: The aims of this study were to (1) formulate a baseline understanding of the performance of the indigenous Cypriot white grape Xynisteri and the red grape Maratheftiko (Vitis vinifera L.), and (2) compare these varieties to Shiraz and Sauvignon blanc grown in a Cypriot vineyard.

What does the concept of natural wine evoke in the minds and senses of tasters? Effect of the level of expertise.

In this video recording of the IVES science meeting 2025, Jordi Ballester (Centre des sciences du goût et de l’alimentation, CNRS, INRAE, Institut Agro, Université Bourgogne-Franche-Comté, Dijon, France) and María-Pilar Sáenz-Navajas (Instituto de Ciencias de la Vid y el Vino (ICVV) (CSIC-UR-GR), La Rioja, Spain) speak about the concept of natural wine. This presentation is based on an original article accessible for free on OENO One.

Development of analytical sampling technique to study the aroma profile of Pinot Noir wine

A novel and efficient Dispersive Liquid-Liquid Microextraction (DLLME) method coupled with gas chromatography–mass spectrometry (GC–MS) was developed to determine 33 key aroma compounds (esters, alcohols, aldehydes, terpenes, norisoprenoids, fatty acids and phenols) present in Pinot noir (PN) wine. Four critical parameters including extraction solvent type, disperse solvent type, extraction solvent volume and disperse solvent volume were optimised with the aid of D-optimal design.