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
相关论文
共 50 条
  • [41] An advantageous analytical method for the determination of fluoride in saliva exploiting smartphone-based digital-image colorimetry
    Fatih Polat
    Chemical Papers, 2022, 76 : 6215 - 6221
  • [42] A smartphone-based approach for comprehensive soil microbiome profiling
    Liang, Yan
    Khanthaphixay, Bradley
    Reynolds, Jocelyn
    Leigh, Preston J.
    Lim, Melissa L.
    Yoon, Jeong-Yeol
    APPLIED PHYSICS REVIEWS, 2024, 11 (03):
  • [43] Spot test for fast determination of hydrogen peroxide as a milk adulterant by smartphone-based digital image colorimetry
    Lima, Manoel J. A.
    Sasaki, Milton K.
    Marinho, Oziel R.
    Freitas, Tayane A.
    Faria, Ronaldo C.
    Reis, Boaventura F.
    Rocha, Fabio R. P.
    MICROCHEMICAL JOURNAL, 2020, 157
  • [44] Evaluating smartphone-based dynamic security questions for fallback authentication: a field study
    Albayram, Yusuf
    Khan, Mohammad Maifi Hasan
    HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2016, 6
  • [45] INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping
    Mansoor, Hamid
    Gerych, Walter
    Alajaji, Abdulaziz
    Buquicchio, Luke
    Chandrasekaran, Kavin
    Agu, Emmanuel
    Rundensteiner, Elke
    Rodriguez, Angela Incollingo
    VISUAL INFORMATICS, 2023, 7 (02) : 13 - 29
  • [46] A digital biomarker of diabetes from smartphone-based vascular signals
    Robert Avram
    Jeffrey E. Olgin
    Peter Kuhar
    J. Weston Hughes
    Gregory M. Marcus
    Mark J. Pletcher
    Kirstin Aschbacher
    Geoffrey H. Tison
    Nature Medicine, 2020, 26 : 1576 - 1582
  • [47] Smartphone-based digital screening increases AF detection rate
    Huynh, Karina
    NATURE REVIEWS CARDIOLOGY, 2022, 19 (12) : 782 - 782
  • [48] Smartphone-based digital colorimetric measurement of dimethyl sulfide in wastewater
    Santiago, Jamila B.
    Sevilla, Fortunato B., III
    MICROCHEMICAL JOURNAL, 2022, 172
  • [49] A Smartphone-Based Tangible Interaction Approach for Landscape Visualization
    Coconu, Liviu
    Ullmer, Brygg
    Paar, Philip
    Lyu, Jing
    Konkel, Miriam
    Hege, Hans-Christian
    PROCEEDINGS PERVASIVE DISPLAYS 2018: THE 7TH ACM INTERNATIONAL SYMPOSIUM ON PERVASIVE DISPLAYS, 2018,
  • [50] An image processing algorithm for an automated smartphone-based semen analyzer
    Kim D.
    Roh J.
    Kim J.H.
    Kang E.
    Choi J.
    IEIE Transactions on Smart Processing and Computing, 2020, 9 (05): : 382 - 390