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    • Please use this identifier to cite or link to this item: https://repositorio.uti.edu.ec//handle/123456789/3647
    Title: Salty Taste Intensity Classifier Through Multivariate Analysis
    Authors: Fuentes Pérez, Esteban
    Varela-Aldás, José
    Verdú, Samuel
    Grau Meló, Raúl
    Barat, José
    Alcañiz, Miguel
    Issue Date: 2022
    Publisher: Communications in Computer and Information Science. Volume 1583 CCIS, Pages 25 - 29. 24th International Conference on Human-Computer Interaction, HCI International, HCII 2022. Virtual, Online. 26 June 2022 through 1 July 2022
    Abstract: Voltammetric electronic Tongues (VET) are widely used on the industry, especially when focused on sample classification, adulteration recognizement and quality control, a VET equipment developed by the Interuniversity Institute of Molecular Recognition and Technological Development of the UPV-UV (IDM) was employed to develop the study, the results of each test were 7920 data, and different Chloride of Sodium concentrations such as 1.25 mM, 2.5 mM, 5 mM and 10 mM were tested. This is a part of a series of studies related with basic flavor recognize though VET, so the aim of this work was to study the capability of the VET to recognize different intensity of salt concentrations, supported on multivariate analysis. The results showed a concordance of more than 70.31% in the separation of samples, allowing to conclude as acceptable the performance of the classifier and the data acquired through the voltammetric electronic tongues.
    URI: https://link.springer.com/chapter/10.1007/978-3-031-06394-7_4
    http://repositorio.uti.edu.ec//handle/123456789/3647
    Appears in Collections:Artículos Científicos Indexados

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