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A Chemometric (Geometric) Approach to Ranking Dry White Wines by the Results of Sensory Evaluation of Their Quality

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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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REFERENCES

  1. Jackson, R.S., Wine Tasting: A Professional Handbook, San Diego: Academic, 2009, 2nd ed.

    Google Scholar 

  2. Ribereau-Gayon, P., Glories, Y., Maujean, A., and Dubourdieu, D., The Chemistry of Wine: Stabilization and Treatments. Handbook of Enology, Chichester: Wiley, 2006, 2nd ed.

    Book  Google Scholar 

  3. Rolls, E.T., Critchley, H.D., Verhagen, J.V., and Kadohisa, M., Chemosens. Percept., 2010, vol. 3, p. 16.

    Article  Google Scholar 

  4. Francis, I.L. and Newton, J.L., Aust. J. Grape Wine Res., 2005, vol. 11, no. 2, p. 114.

    Article  CAS  Google Scholar 

  5. Jackson, R.S., Oral Sensations (Taste and Mouthfeel). Wine Tasting: A Professional Handbook, San Diego: Elsevier, 2017, 3rd ed., p. 103.

    Google Scholar 

  6. Parker, R.M., Bordeaux: A Consumer’s Guide to the World’s Finest Wines, London: Simon & Schuster, 2003, 4th ed.

    Google Scholar 

  7. Spence, C., Int. Food Res. J., 2019, vol. 123, p. 746.

    Article  CAS  Google Scholar 

  8. Taladrid, D., Lorente, L., Bartolomé, B., Moreno-Arribas, M.V., and Laguna, L., J. Texture Stud, 2019, vol. 50, no. 1, p. 75.

    Article  Google Scholar 

  9. Rodrigues, H. and Parr, W., Int. Food Res. J., 2019, vol. 115, p. 251.

    Article  Google Scholar 

  10. Orlov, A.I., Zavod. Lab., Diagn. Mater., 2006, vol. 72, no. 1, p. 67.

    Google Scholar 

  11. Barskii, B.V. and Sokolov, M.V., SZavod. Lab., Diagn. Mater., 2006, vol. 72, no. 1, p. 59.

    Google Scholar 

  12. Tseitlin, N.A., Zavod. Lab., Diagn. Mater., 2010, vol. 76, no. 7, p. 69.

    Google Scholar 

  13. Strizhov, V.V., Zavod. Lab., Diagn. Mater., 2011, vol. 77, no. 7, p. 72.

    Google Scholar 

  14. Khalafyan, A.A., Temerdashev, Z.A., Akin’shina, V.A., and Yakuba, Yu.F., Heliyon, 2021, vol. 7, no. 2, e06162.

    Article  CAS  Google Scholar 

  15. Khalafyan, A.A., Temerdashev, Z.A., Yakuba, Yu.F., Kiseleva, N.V., Guguchkina, T.I., and Antonenko, M.V., Zavod. Lab., Diagn. Mater., 2015, vol. 81, no. 12, p. 69.

    Google Scholar 

  16. Ruiz, J., Kiene, F., Belda, I., Fracassetti, D., Marquina, D., Navascués, E., Calderón, F., Benito, A., Rauhut, D., Santos, A., and Benito, S., Appl. Microbiol. Biotechnol., 2019, vol. 103, p. 7425.

    Article  CAS  Google Scholar 

  17. Gardner, D.M., Duncan, S.E., and Zoecklein, B.W., Am. J. Enol. Vitic., 2017, vol. 68, p. 112.

    Article  CAS  Google Scholar 

  18. Mirás-Avalos, J.M., Bouzas-Cid, Y., Trigo-Córdoba, E., Orriols, I., and Falqué, E., Foods, 2019, vol. 8, no. 4, p. 135.

    Article  Google Scholar 

  19. Vilanova, M., Genisheva, Z., Masa, A., and Oliveira, J., Microchem. J., 2010, vol. 95, p. 240.

    Article  CAS  Google Scholar 

  20. Robinson, A.L., Boss, P.K., Solomon, P.S., Trengove, R.D., Heymann, H., and Ebeler, S.E., Am. J. Enol. Vitic., 2014, vol. 65, p. 1.

    Article  Google Scholar 

  21. Versini, G., Dellacassa, E., Carlin, S., Fedrizzi, B., and Magno, F., in Hyphenated Techniques in Grape and Wine Chemistry, Flamini, R., Ed., Hoboken, NJ: Wiley, 2008, p. 173.

    Google Scholar 

  22. Temerdashev, Z.A., Khalafyan, A.A., and Yakuba, Yu.F., Heliyon, 2019, vol. 5, no. 10, e02626.

    Article  CAS  Google Scholar 

  23. Wang, Q.J. and Spence, C., Food Qual. Prefer., 2018, vol. 68, p. 238.

    Article  Google Scholar 

  24. Khalafyan, A.A., Yakuba, Yu.F., and Temerdashev, Z.A., J. Anal. Chem., 2016, vol. 71, no. 2, p. 205.

    Article  Google Scholar 

  25. Khalafyan, A.A., Yakuba, Yu.F., Temerdashev, Z.A., Kaunova, A.A., and Titarenko, V.O., J. Anal. Chem., 2016, vol. 71, no. 11, p. 1138.

    Article  CAS  Google Scholar 

  26. Khalafyan, A.A., Temerdashev, Z.A., Kaunova, A.A., Abakumov, A.G., Titarenko, V.O., Akin’shina, V.A., and Ivanovets, E.A., J. Anal. Chem., 2019, vol. 74, no. 6, p. 617.

    Article  CAS  Google Scholar 

  27. Bouzas-Cid, Y., Falqué, E., Orriols, I., and Mirás-Avalos, J.M., Food Chem., 2018, vol. 240, p. 707.

    Article  CAS  Google Scholar 

  28. Vilanova, M., Escudero, A., Graña, M., and Cacho, J., Anal. Chim. Acta, 2012, vol. 720, p. 104.

    Article  CAS  Google Scholar 

  29. Hill, T. and Lewicki, P., Statistics Methods and Applications, Tulsa, OK: StatSoft, 2007.

    Google Scholar 

  30. Aivazyan, S.A. and Mkhitaryan, B.C., Teoriya veroyatnostei i prikladnaya statistika (Theory of Probability and Applied Statistics), vol. 1, Moscow: YuNITI-DANA, 2001.

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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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Correspondence to Z. A. Temerdashev.

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Translated by O. Zhukova

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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

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