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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A Principal Curves-Based Method for Electronic Tongue Data Analysis

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Author(s):
Sousa, Luiz Paulo O. [1] ; Fukushima, Katia L. [2] ; Scagion, Vanessa P. [3, 4] ; Facure, Murilo H. M. [3, 4] ; Correa, Daniel S. [3, 4] ; Oliveira, Juliano E. [2] ; Ferreira, Danton D. [1]
Total Authors: 7
Affiliation:
[1] Univ Fed Lavras, Dept Automat, BR-37200900 Lavras - Brazil
[2] Univ Fed Lavras, Dept Engn, BR-37200900 Lavras - Brazil
[3] Embrapa Instrumentacao, Nanotechnol Natl Lab Agr LNNA, BR-13560970 Sao Carlos - Brazil
[4] Fed Univ Sao Carlos UFSCar, PPGQ, Ctr Exact Sci & Technol, Dept Chem, BR-13565905 Sao Carlos - Brazil
Total Affiliations: 4
Document type: Journal article
Source: IEEE SENSORS JOURNAL; v. 21, n. 4, p. 4957-4965, FEB 15 2021.
Web of Science Citations: 0
Abstract

Electronic tongues are a type of sensor inspired in the biological recognition system, where sensorial and instrumental techniques are used to determine flavors or substances present in the samples analyzed. The sensor arrays used in electronic tongues are generally non-specific and are designed to provide global information about the solution's response. As a consequence, it usually becomes necessary to use data processing techniques that are capable of providing specific information from the samples under investigation. In this context, here we employed a Principal Curves based method to evaluate the experimental data obtained from an impedimetric electronic tongue used to evaluated distinct flavors enhancers of similar compostions. For the classification of concentrations, the best results were in the range of 88.02 to 91.15%, using electrode architectures E1 (Poly allylamine hydrochloride (PAH), reduced graphene oxide (rGO), polyaniline (PANI) and copper tetrasulfonated phthalocyanine (CuTsPc)) and E6 (PAH and CuTsPc). In the classification of substances, again the E1 architecture was highlighted, with 90.15% accuracy. These results shown that principal curves may be a promising technique for electronic tongues data analysis. (AU)

FAPESP's process: 17/12174-4 - Development of hybrid polymer nanofibers for agricultural applications
Grantee:Daniel Souza Corrêa
Support Opportunities: Regular Research Grants
FAPESP's process: 17/10582-8 - Production and characterization of graphene quantum dots and their application in chemical sensors
Grantee:Murilo Henrique Moreira Facure
Support Opportunities: Scholarships in Brazil - Doctorate