A fast and inexpensive approach to characterize Slovak Tokaj selection wines using infrared spectroscopy and chemometrics

Andrea Machyňáková; Mateus P Schneider; Liudmyla Khvalbota; Olga Vyviurska; Ivan Špánik; Adriano A Gomes

doi:10.1016/j.foodchem.2021.129715

A fast and inexpensive approach to characterize Slovak Tokaj selection wines using infrared spectroscopy and chemometrics

Food Chem. 2021 Apr 5:357:129715. doi: 10.1016/j.foodchem.2021.129715. Online ahead of print.

Authors

Andrea Machyňáková¹, Mateus P Schneider², Liudmyla Khvalbota¹, Olga Vyviurska¹, Ivan Špánik¹, Adriano A Gomes³

Affiliations

¹ Institute of Analytical Chemistry, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinského 9, 812 37 Bratislava, Slovakia.
² Institute of Chemistry, Federal University of Rio Grande do Sul, Bento Gonçalves Avenue, 9500, 91501-970 Porto Alegre, RS, Brazil.
³ Institute of Analytical Chemistry, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinského 9, 812 37 Bratislava, Slovakia; Institute of Chemistry, Federal University of Rio Grande do Sul, Bento Gonçalves Avenue, 9500, 91501-970 Porto Alegre, RS, Brazil. Electronic address: araujo.gomes@ufrgs.br.

PMID: 33878582
DOI: 10.1016/j.foodchem.2021.129715

Abstract

The Tokaj Selection wines (hungarian equivalent "Aszú") are typical noble sweet wines produced in Tokaj wine region that falls within two countries, Slovakia and Hungary. Taking into account the economic importance and uniqueness of these wines, in this work, a new, fast and inexpensive method that combines infrared spectroscopy and multivariate models for characterization Slovak Tokaj Selection wines was developed. At first, sample authentication via one class models (dd-SIMCA) considered Slovak Tokaj Selection wines as target class. The non-target sample was considered to be only a Tokaj sample of Slovak origin. The resulting model was able to properly recognize samples of the target class with high sensitivity and specificity. Subsequently, the putňa index was predicted via PLS models. RMSEP equals 0.44; REP_pred of 9.6 and R² 0.95 was found in prediction step.

Keywords: Infrared spectroscopy; Multivariate calibration; One class classification; Tokaj.