Salty Taste Intensity Classifier Through Multivariate Analysis
Journal
Communications in Computer and Information Science
Date Issued
2022
Author(s)
Fuentes E.M.
Verdú S.
Grau Meló R.
Barat J.M.
Alcañiz M.
Type
Conference Paper
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. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Subjects