WINE SPARKLING PROPERTIES TEST METHOD

Authors

  • О. Б. Ткаченко
  • С. С. Древова
  • В. П. Желєзний
  • Т. Л. Лозовський
  • А. Г. Нікулін

DOI:

https://doi.org/10.15673/2073-8684.3/2015.50279

Keywords:

sparkling properties, bubbles of carbon dioxide, the experimental setup, the mathematical model, the recognition of bubbles

Abstract

The article describes an improved method of estimation the parameters of wine sparkling properties quality. The method is based on photographing the carbon dioxide evolution process from sparkling wine in the optical cell in order to obtain initial information about the behavior of bubbles within a specified time. During experimental research it is determined the time of appearance of the bubble, the size and depth of formation. “Computer vision” is offered as a method of experimental data processing.

The authors suggested two mathematical models to describe the changes in the bubbles concentration and average diameter of rising bubbles. The use of these models allows receiving generalized characteristics of wine “sparkle”. The results of bubbles evolution dynamics description and change of bubbles size in course of time are represented in the research. It is shown that the models allow describing the processes of formation, growth and rising of bubbles adequately using a small number of parameters. Suggested models are recommended for quantitative and objective evaluation of wine sparkling properties.

References

Poinsaut P Le Mosalux, appareil de mesure du pouvoir moussant d’un vin. Revue des Oenologues. 1991; 59: 35-43.

Makarov AS Proizvodstvo shampanskogo. Simferopol: Tavriya. 2008.

Vanrell G, Esteruelas M, Canals J-M, Zamora F, Poinsaut P, Sieczkowski N, Leboeuf D (Influence du type de clarification du vin de base et des adjuvants de tirage sur la qualité de la mousse des vins effervescent. Rev. Fr. Oenol. 2005; 114: 28-30.

Jordan AD, Napper DH Some aspects of the physical chemistry of bubble and foam phenomena in sparkling wine.In: Proceedings of the Sixth Australian Wine Industry Technical Conference. 1987; 237 - 246.

Liger-Belair G, Marchal R, Robillard B. Vignes-Adler M, Maujean A, Jeandet P Study of Effervescence in a Glass of Champagne: Frequencies of Bubble Formation, Growth Rates, and Velocities of Rising Bubbles. Am. J. Enol. Vitic. 1999; 3: 317 - 323.

Liger-Belair G, Lemaresquier H, Robillard B, Duteurtre B, Jeandet P The Secrets of Fizz in Champagne Wines: A Phenomenological Study. Am. J. Enol. Vitic. 2001; 2: 88 - 92.

Khalil About Saleh M. Soutenue le Caractérisation de la collerette du champagne: Relations entre les propriétés optiques de la couche d’adsorption, la stabilité des bulles et l’étendue de la collerette. Thèse de doctorat, Université de Reims Champagne-Ardenne, Reims. 2007.

Merzhanian A Fiziko-khimiia igristykh vin. Moskva: Pishchevaia promyshlennost. 1979.

Marchal R Divers paramètres influençant les propriétés moussantes des vins effervescents. Journée Technique Vins de Base et Prise de Mousse. 2010.

Szeliski R Computer Vision. Algorithms and Applications. Springer-Verlag London Limited. 2011. Р. 979 – ISBN: 978-1-84882-934-3 (Print), 978-1-84882-935-0 (Online), DOI

1007/978-1-84882-935-0

Atherton TJ. Kerbyson DJ Size invariant circle detection. Image and Vision Computing. 1999; 11: 795 - 803.

Huber PJ Robust Statistics. John Wiley & Sons, Inc., Hoboken, NJ, USA. 1981; 308. – ISBN: 9780471418054.

Published

2015-09-16

Issue

Section

Хімія харчових продуктів і матеріалів. Нові види сировини