terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Comparison of ancestral and traditional methods in the elaboration of sparkling wines; preliminary results

Comparison of ancestral and traditional methods in the elaboration of sparkling wines; preliminary results

Abstract

Top quality sparkling wines (SW) are mostly produced using the traditional method that implies a second fermentation into the bottle[1]. That is the case of sparkling wines of reputed AOC such as Champagne, Cava or Franciacorta. However, it seems that the first SW was elaborated using the ancestral method in which only one fermentation takes place[2]. That is the case of the classical SW from the AOC Blanquette de Limoux[3]. In both cases, SW age in the bottle during some time in contact with lees favoring yeast’s autolysis[4]. There is a lot of information about traditional method but only few exists about ancestral method. The aim of this work was to compare SW made by the ancestral method with SW made by the traditional method.

A grape must of Macabeo was fermented and when density was around 1005, it was separated in two sets. One was maintained in the tank until the end of fermentation whereas the other was cooled, filtered to reduce the yeast’s population and bottled for elaborating SW by ancestral method. The other set was used once alcoholic fermentation was finished for elaborating SW by traditional method.

As expected, the ethanol content of ancestral SW was around 1.5 % lower than that of traditional SW since it was not supplemented with sugar for the 2nd fermentation. No differences were found in titratable acidity, volatile acidity, pH or in protein content. However, the polysaccharide concentration was higher in the case of traditional SW which suggest a higher impact of yeast’s autolysis. In contrast, the foamability (HM) was higher in the case of ancestral SW, probably because its lower ethanol content. The wines were tasted by a trained panel which considers both wines positively.

References:

1)  Maujean A. (1989) Histoire de bulles. Rev Franç Enol. 120:11-17.

2)  J. Robinson (ed) (2006) The Oxford Companion to Wine. Third Edition pp. 402–403 Oxford University Press. ISBN 0-19-860990-6

3)  Dubois C. et al. (1998). Blanquette methode ancestrale. In: Oenologie: Principes scientifiques et technologiques. C. Flanzy (Ed.). Tec & Doc Lavoisier. p. 833.

4)  Pons-Mercadé P. et al. (2021). Monitoring yeast autolysis in sparkling wines of nine consecutive vintages produced by the traditional method. Aust J Grape Wine Res. DOI 10.1111/ajgw.12534

DOI:

Publication date: October 13, 2023

Issue: ICGWS 2023

Type: Poster

Authors

Arnau Just-Borràs1, Ekaterina Moroz1, Pol Giménez1, Pedro Cabanillas1, Jordi Gombau1, Joan M. Canals1, Fernando Zamora1*

1Departament de Bioquímica i Biotecnologia, Facultat d’Enologia de Tarragona, Universitat Rovira i Virgili, C/Marcel.li Domingo s/n, 43007 Tarragona, Spain

Contact the author*

Keywords

sparkling wine, traditional method, ancestral method, foam properties

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Metabolomic insights into wine’s sensory identity: unveiling climate-driven changes in aroma composition

Wine, a sensitive and intricate agricultural product, is being affected by climate change, which accelerates grapevine phenological stages and alters grape composition and ripening. This influences the synthesis of key aroma compounds, shaping wine’s sensory attributes [1]. The complex aroma profile, resulting from compound interactions, presents a metabolomics challenge to identify these indicators and their environmental change responses, which is being addressed using diverse analytical techniques.

Climate change and viticulture in Nordic Countries and the Helsinki area

The first vineyards in Northern Europe were in Denmark in the 15th century, in the southern parts of Sweden and Finland in the 18th century at 55–60 degrees latitude. The grapes grown there have not been made into wine, but the grapes have been eaten at festive tables. The resurgence of viticulture has started with global warming, and currently the total area of viticulture in the Nordic countries, including Norway, is estimated to be 400–500 hectares, most of which is in Denmark. Southern Finland, like all southern parts of Northern Europe, belongs to the cool-cold winegrowing area.

Effect of ultraviolet B radiation on pathogenic molds of grapes

The fungicidal effect of UV-C radiation (100-280 nm wavelength) is well known, but its applicability for the control of pathogenic molds of grapes is conditioned by its effect on the host and by the risks inherent in its handling[1].
As an alternative, the effect in vitro of UV-B radiation (280-315 nm) on the main pathogenic molds of grapes has been studied: Botrytis cinerea, Aspergillus niger, Penicillium expansum and Rhizopus stolonifer.

Genetic variation among wild grapes native to Japan

Domesticated grapes are assumed to have originated in the Middle East. However, a considerable number of species are native in East Asian countries such as China, Korea and Japan as well. Evidence suggests that a total of seven species and eight varieties have been found to be native to Japan. A wide level variation in morphology, genetic and fruit composition exist in wild grape native to Japan.

Exploring intra-vineyard variability with sensor- and molecular-based approaches 

The application of remote and proximal sensing is a fast and efficient method to monitor grapevine vegetative and physiological parameters and is considered valuable to derive information on associated yield and quality traits in the vineyard. Further details can be obtained by the application of molecular analysis at the gene expression level aiming at elucidating how pathways controlling the formation of different grape quality traits are influenced by spatial variability. This work aims at evaluating intra-vineyard variability in grape composition at harvest and at comparing this with remotely sensed canopy vegetation data and molecular-based approaches.