Data/hora: 08/06/2024 05:22:26

Biblioteca(s): | Embrapa Instrumentação.
Data corrente: | 19/10/2021
Data da última atualização: | 10/06/2022
Autoria: | SOUSA, L. P. O.; FUKUSHIMA, K. L.; SCAGION, V. P.; FACURE, M. H. M.; CORREA, D. S.; OLIVEIRA, J. E.; FERREIRA, D. D.
Afiliação: | DANIEL SOUZA CORREA, CNPDIA.
Título: | A principal curves-based method for electronic tongue data analysis.
Ano de publicação: | 2021
Fonte/Imprenta: | IEEE Sensors Journal, v. 21, n. 4, 2021.
ISSN: | 1558-1748
Idioma: | Inglês
Conteúdo: | 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 necessaryto 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
Palavras-Chave: | Pattern recognition; Principal curves.
Categoria do assunto: | --
Registro original: | Embrapa Instrumentação (CNPDIA)
Exemplares: | CNPDIA - (17879-1) - UPC - AP - DD - PROCI.21/127 -  - 2021/130 - DIS