| Texto completo | |
| Autor(es): |
Raj, Dhanus Raj Kanaga
;
Ferreira, Marcus Vinicius da Silva
;
Braunger, Maria Luisa
;
Riul, Antonio
;
Thomas, Jibu
;
Barbin, Douglas Fernandes
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Journal of Food Composition and Analysis; v. 123, p. 11-pg., 2023-08-01. |
| Resumo | |
Tea is the second most consumed beverage globally due to its flavour and therapeutical properties. The geographical location is a key indicator for distinct tea quality as it influences tea chemical composition, and there are various grades in the market, demanding a rapid assessment of tea quality grade for economic purposes. We have developed and applied a multi-sensing impedimetric device (electronic tongue) based on Layer-byLayer (LbL) nanostructured materials as sensing units in the discrimination of black tea based on chemical composition. PLS-DA and PLSR were applied to the data obtained from the electronic tongue to classify samples according to chemical composition related to country of origin and to predict total flavonoids, total polyphenols and caffeine content. Total flavonoids and caffeine content could be predicted using partial least squares regression (PLSR) with coefficients of determination (R2P) of 0.77 and 0.71, respectively. The results show the potential of this impedimetric e-tongue for discriminating teas based on chemical composition. (AU) | |
| Processo FAPESP: | 15/24351-2 - Análise de imagens e espectroscopia de infravermelho próximo (NIR) na avaliação de qualidade e autenticação de alimentos |
| Beneficiário: | Douglas Fernandes Barbin |
| Modalidade de apoio: | Auxílio à Pesquisa - Jovens Pesquisadores |