Abstract
We consider the ranking of dry white wines and their quality using sensory evaluation from the standpoint of multidimensional analysis when the test samples are presented as points of a multidimensional space with coordinates corresponding to expert scores. The degree of preference between the wine samples is expressed in terms of the similarity of sensory estimates, evaluated by the geometric distance between them. In addition to ranking wines, this approach allowed us to study their cluster structure and reveal three groups of homogeneous wines based on the results of a set of expert scores given to them. A correlation the cluster structure of wines with their places in the ranked list is found. The consistency of wine ratings based on the proposed chemometric approach, arithmetic mean, and median scores is demonstrated. From the point of view of multivariate analysis, rating wines by the geometric distance is mathematically more reasonable, because it is built in accordance with the Euclidean metric, and the sum of coordinates of points, the calculation of the arithmetic mean is based on, does not correspond to any of the known metrics. Another advantage of the geometric approach is that the use of the arithmetic mean for the final assessment of the tasting results is justified at a great number of experts.
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ACKNOWLEDGMENTS
The work was performed using scientific equipment from the Center for Collective Use “Ecological Analytical Center” of the Kuban State University.
Funding
This work was supported by the Russian Foundation for Basic Research (project no. 20-33-90046).
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Khalafyan, A.A., Temerdashev, Z.A., Abakumov, A.G. et al. A Chemometric (Geometric) Approach to Ranking Dry White Wines by the Results of Sensory Evaluation of Their Quality. J Anal Chem 76, 1007–1015 (2021). https://doi.org/10.1134/S1061934821080062
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DOI: https://doi.org/10.1134/S1061934821080062