A digital image smartphone-based approach to Slovak Tokaj wine authentication chemometric assisted

被引:1
|
作者
Onca, Larisa [1 ]
Koljancic, Nemanja
Furdikova, Katarina [3 ]
Khvalbota, Liudmyla [2 ]
S, Ivan
Gomes, Adriano A. [1 ,2 ]
机构
[1] Univ Fed Rio Grande Do Sul, Inst Quim, Ave Bento Goncalves,9500, BR-91501970 Porto Alegre, RS, Brazil
[2] Slovak Univ Technol Bratislava, Inst Analyt Chem, Fac Chem & Food Technol, Radlinskeho 9, Bratislava 81237, Slovakia
[3] Slovak Univ Technol Bratislava, Inst Biotechnol, Fac Chem & Food Technol, Radlinskeho 9, Bratislava 81237, Slovakia
关键词
Tokaj wine; Digital image; One class classification; Class modeling; VALIDATION;
D O I
10.1016/j.foodchem.2024.140075
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
The authentication of Slovak wines in comparison to other similar wines from various geographical regions, namely Hungary, France, Austria, and Ukraine, was conducted using the OC-PLS, DD-SIMCA, and PLS-DM models, all of them operating in rigorous way. The study involved 63 samples, of which 41 originated from Slovakia, covering diverse wine types such as varietal wines, cuvee selections (different "putnovy"), and essence. To capture digital images under controlled conditions, a custom-made cardboard box with white inner surfaces was devised and equipped with a smartphone. During the training phase, sensitivities of 96%, 100%, and 96% were attained for OC-PLS, DD-SIMCA, and PLS-DM, respectively. In the subsequent stages of validation and testing for DD-SIMCA and PLS-DM, the proposed methods displayed optimal efficiency, achieving both sensitivity and specificity rates of 100%. However, such results were not achieved in the case of OC-PLS, which exhibited efficiency levels of 90% in validation and 80% in testing.
引用
收藏
页数:8
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