Identifying of the wine-making potential of the autochthon madrasa grape variety of different colors and quality
DOI:
https://doi.org/10.15587/1729-4061.2024.302971Keywords:
red grapes, different colored wines, ripeness, active coal, Collagel Clar, white wines, pink wines, Madrasa grape, winemaking, phenolic acidsAbstract
Madrasa grape variety, juice, pulp, wine material, auxiliary materials, technological methods and tools were taken as the object of research. Madrasa is an autochthonous grape variety belonging to the Nagorno-Karabakh region of Azerbaijan. The lack of full study of the quality resources of this variety, especially its color (red, pink and white) and lack of research in the direction of producing wines that differ in quality remains a problem.
The sugar-acid index and phenolic ripeness were determined in Madrasa grape variety, reflecting the optimum ripeness.
Active color and Colagel Clar were used in order to obtain natural wines with different colors. As the dose of the drug increases, the corresponding decrease in the amount of these substances is noticed. At the dose of 80 g/hl of the drug, both total and monomer anthocyanins were not matched and the sample became colorless.
While the wine sample that was not stored and matured (control) received 7.7 points, the wine sample stored for 6 months in internally burned barrels had 7.9 points, and during that time, the internal the sample of wine stored in an unburnt barrel was rated 8.5 points. A sample of wine stored in internal fired barrels for 12 months was evaluated with 8.6 points and a sample stored in non-internally fired barrels with 8.7 points. An apparatus-technological scheme for the production of wine, which differs from the autochthonous Madrasa grape variety in terms of color and quality, has been developed. The technological scheme allows the production of wine varieties that differ in terms of gin and maturation period, based on the existing flow line for the production of red wine
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Copyright (c) 2024 Hasil Fataliyev, Ahmad Malikov, Yusif Lezgiyev, Natavan Gadimova, Teymur Musayev, Gulshan Aliyeva
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