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Comparative assessment of amino acids and volatile compounds role in the formation of wines sensor properties by means of covariation analysis

The objects of study were 150 samples of natural dry red and white grape wines of Russian origin, obtained by traditional technologies from European and hybrid grape varieties grown in wineries in Krasnodar Krai in 2010–2016. Natural red (Cabernet, Merlot) and white (Aligote, Riesling, Pinot Noir) (...

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Autores principales: Temerdashev, Z.A., Khalafyan, A.A., Yakuba, Yu.F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812182/
https://www.ncbi.nlm.nih.gov/pubmed/31667427
http://dx.doi.org/10.1016/j.heliyon.2019.e02626
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author Temerdashev, Z.A.
Khalafyan, A.A.
Yakuba, Yu.F.
author_facet Temerdashev, Z.A.
Khalafyan, A.A.
Yakuba, Yu.F.
author_sort Temerdashev, Z.A.
collection PubMed
description The objects of study were 150 samples of natural dry red and white grape wines of Russian origin, obtained by traditional technologies from European and hybrid grape varieties grown in wineries in Krasnodar Krai in 2010–2016. Natural red (Cabernet, Merlot) and white (Aligote, Riesling, Pinot Noir) (alcohol content of 9–13 % by volume, acidity of 4–7 g/dm3), as well as blend wines based on Cabernet Sauvignon, Merlot and Pinot Noir wines made under experimental conditions were analyzed. Chromatographic and electrophoretic methods were used to determine the content of volatile components and amino acids in the studied samples. A sensory assessment of wine quality was carried out by wine specialists working in the wine industry and having professional experience in the field of sensory analysis. Using statistical modeling we carried out a comparative assessment of the role of amino acids - threonine, proline, arginine and volatile compounds - methanol, acetic acid, furfural in the perception of taste and aromatic properties of wines, a general indicator of which is the average tasting rating. High adequacy of the regression model constructed using covariance analysis indicates that mainly amino acids and volatile compounds determine the sensory properties of wines. The dominant role of amino acids in the perception of taste and aromatic characteristics compared to other wine components is mathematically justified in accordance with the criterion of one-dimensional significance. It has been shown that more than 82% of the sensory characteristics of the analyzed wines group fall on the amino acids and volatile compounds under consideration, and less than 18% - on all the others, including titrated acids, free amino acids, mineral components, phenols, etc.
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spelling pubmed-68121822019-10-30 Comparative assessment of amino acids and volatile compounds role in the formation of wines sensor properties by means of covariation analysis Temerdashev, Z.A. Khalafyan, A.A. Yakuba, Yu.F. Heliyon Article The objects of study were 150 samples of natural dry red and white grape wines of Russian origin, obtained by traditional technologies from European and hybrid grape varieties grown in wineries in Krasnodar Krai in 2010–2016. Natural red (Cabernet, Merlot) and white (Aligote, Riesling, Pinot Noir) (alcohol content of 9–13 % by volume, acidity of 4–7 g/dm3), as well as blend wines based on Cabernet Sauvignon, Merlot and Pinot Noir wines made under experimental conditions were analyzed. Chromatographic and electrophoretic methods were used to determine the content of volatile components and amino acids in the studied samples. A sensory assessment of wine quality was carried out by wine specialists working in the wine industry and having professional experience in the field of sensory analysis. Using statistical modeling we carried out a comparative assessment of the role of amino acids - threonine, proline, arginine and volatile compounds - methanol, acetic acid, furfural in the perception of taste and aromatic properties of wines, a general indicator of which is the average tasting rating. High adequacy of the regression model constructed using covariance analysis indicates that mainly amino acids and volatile compounds determine the sensory properties of wines. The dominant role of amino acids in the perception of taste and aromatic characteristics compared to other wine components is mathematically justified in accordance with the criterion of one-dimensional significance. It has been shown that more than 82% of the sensory characteristics of the analyzed wines group fall on the amino acids and volatile compounds under consideration, and less than 18% - on all the others, including titrated acids, free amino acids, mineral components, phenols, etc. Elsevier 2019-10-11 /pmc/articles/PMC6812182/ /pubmed/31667427 http://dx.doi.org/10.1016/j.heliyon.2019.e02626 Text en © 2019 The Authors. Published by Elsevier Ltd. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Temerdashev, Z.A.
Khalafyan, A.A.
Yakuba, Yu.F.
Comparative assessment of amino acids and volatile compounds role in the formation of wines sensor properties by means of covariation analysis
title Comparative assessment of amino acids and volatile compounds role in the formation of wines sensor properties by means of covariation analysis
title_full Comparative assessment of amino acids and volatile compounds role in the formation of wines sensor properties by means of covariation analysis
title_fullStr Comparative assessment of amino acids and volatile compounds role in the formation of wines sensor properties by means of covariation analysis
title_full_unstemmed Comparative assessment of amino acids and volatile compounds role in the formation of wines sensor properties by means of covariation analysis
title_short Comparative assessment of amino acids and volatile compounds role in the formation of wines sensor properties by means of covariation analysis
title_sort comparative assessment of amino acids and volatile compounds role in the formation of wines sensor properties by means of covariation analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812182/
https://www.ncbi.nlm.nih.gov/pubmed/31667427
http://dx.doi.org/10.1016/j.heliyon.2019.e02626
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