Macrowine 2021
IVES 9 IVES Conference Series 9 On the losses of dissolved CO2 during champagne aging

On the losses of dissolved CO2 during champagne aging

Abstract

A misconception lingers in the minds of some wine consumers that Champagne wines don’t age. It’s largely a myth, certainly as far as the best cuvees are concerned. Actually, during the so-called autolysis period of time (in the closed bottle, after the “prise de mousse”), complex chemical reactions take place when the wine remains in contact with the dead yeast cells, which progressively bring complex and very much sought-after aromas to champagne. Nevertheless, despite their remarkable impermeability to liquid and air, caps or natural cork stoppers used to cork the bottles are not 100% hermetic with regard to gas transfers. Gas species therefore very slowly diffuse through the cap or cork stopper, along their respective inverse partial pressure. After the “prise de mousse”, because the partial pressure of CO2 in the bottleneck reaches up to 6 bars (at 12 °C), gaseous CO2 progressively diffuse from the bottle to the ambient air (where the partial pressure of gaseous CO2 is only of order of 0,0004 bar). Moreover, because gaseous and dissolved CO2 experience thermodynamic equilibrium in the closed bottle (through the so-called Henry’s law), the level of dissolved CO2 also inevitably decreases as time proceeds during aging on lees. Actually, in champagne tasting, the level of dissolved CO2 is indeed a parameter of paramount importance since it is responsible for the bubbling process (the so-called effervescence). Keeping the dissolved CO2 as long as possible inside the bottle during aging is therefore a challenge of importance for Champagne wine elaborators, especially for old vintages collections likely to age on lees for long periods of time. Here, measurements of dissolved CO2 concentrations were done in a collection of various vintages (from a prestige cuvee provided by our partner), initially holding the same level of CO2 after the “prise de mousse” (classically close to 11.5 g/L), but having experienced different periods of aging on lees (ranging from several months up to 35 years). Progressive losses of dissolved CO2 concentrations were evidenced, depending on the period of time spent in contact with lees. Our results were compared with a previous set of experimental data, and with a multi-parameter model recently developed which provides the level of dissolved CO2 in wine as a function of time. It is worth noting that both the diameter of the bottleneck, and the bottle volume, were found to be key parameters as concerns the losses of dissolved CO2 during champagne aging. Equipe Effervescence (GSMA), Université de Reims, France Laboratoire de Recherches, Champagne Moët & Chandon, Epernay, France

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Gérard Liger-Belair*

*Equipe Effervescence (GSMA)

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Oak wood seasoning: impact on oak wood chemical composition and sensory quality of wine

Oak wood selection and maturation are essential steps in the course of barrel fabrication. Given the existence of many factors involved in the choice of raw material and in natural seasoning of oak wood, it is very difficult to determine the real impact of seasoning and selection factors on oak wood composition. A sampling was done to study the evolution of oak wood chemical composition during four seasoning steps: non matured, 12 months, 18 months and 24 months. For this sampling, three selection factors were taken into account: age, grain type and the Polyphenolic Index measured by Oakscan®. Besides extractables
(~10%), three polymers constitute the main part of oak wood: cellulose, hemicelluloses and lignins.

Comparative proteomic analysis of wines made from Botrytis cinerea infected and healthy grapes reveal interesting parallels to the gushing phenomenon in sparkling wine

In addition to aroma compounds also protein composition strongly influences the quality of wines. Proteins of wine derive mainly from the plant Vitis vinifera and may be influenced by abiotic stress as well as fermentation conditions or fining. Additionally, fungal infections can affect the protein content as well by introducing fungal proteins or affecting grape protein composition. An infection of the vine with the plant pathogenic fungus Botrytis (B.) cinerea was shown to cause a degradation of proteins in the resulting wine. Moreover, it influences the foaming properties in sparkling wine.

Metabolomics of grape polyphenols as a consequence of post-harvest drying: on-plant dehydration vs warehouse withering

A method of suspect screening analysis to study grape metabolomics, was developed [1]. By performing ultra-high performance liquid chromatography (UHPLC) – high-resolution mass spectrometry (HRMS) analysis of the grape extract, averaging 320-450 putative grape compounds are identified which include mainly polyphenols. Identification of metabolites is performed by a new HRMS-database of putative grape and wine compounds expressly constructed (GrapeMetabolomics) which currently includes around 1,100 entries.

Chemical markers in wine related to low levels of yeast available nitrogen in the grape

Nitrogen is an important nutrient of yeast and its low content in grape must is a major cause for sluggish fermentations. To prevent problems during fermentation, a supplementation of the must with ammonium salts or more complex nitrogen mixtures is practiced in the cellar. However this correction seems to improve only partially the quality of wine [1]. In fact, yeast is using nitrogen in many of its metabolic pathways and depending of the sort of the nitrogen source (ammonium or amino acids) it produces different flavor active compounds. A limitation in amino acids can lead to a change in the metabolic pathways of yeast and consequently alter wine quality.

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.