Electronic tongue: a versatile tool for mineral and fruit-flavored waters recognition


Autoria(s): Dias, Luís G.; Alberto, Zelda; Veloso, Ana C. A.; Peres, António M.
Data(s)

01/06/2016

31/12/1969

Resumo

Natural mineral waters (still), effervescent natural mineral waters (sparkling) and aromatized waters with fruit-flavors (still or sparkling) are an emerging market. In this work, the capability of a potentiometric electronic tongue, comprised with lipid polymeric membranes, to quantitatively estimate routinely quality physicochemical parameters (pH and conductivity) as well as to qualitatively classify water samples according to the type of water was evaluated. The study showed that a linear discriminant model, based on 21 sensors selected by the simulated annealing algorithm, could correctly classify 100 % of the water samples (leave-one out cross-validation). This potential was further demonstrated by applying a repeated K-fold cross-validation (guaranteeing that at least 15 % of independent samples were only used for internal-validation) for which 96 % of correct classifications were attained. The satisfactory recognition performance of the E-tongue could be attributed to the pH, conductivity, sugars and organic acids contents of the studied waters, which turned out in significant differences of sweetness perception indexes and total acid flavor. Moreover, the E-tongue combined with multivariate linear regression models, based on sub-sets of sensors selected by the simulated annealing algorithm, could accurately estimate waters pH (25 sensors: R 2 equal to 0.99 and 0.97 for leave-one-out or repeated K-folds cross-validation) and conductivity (23 sensors: R 2 equal to 0.997 and 0.99 for leave-one-out or repeated K-folds cross-validation). So, the overall satisfactory results achieved, allow envisaging a potential future application of electronic tongue devices for bottled water analysis and classification.

This study was supported by Fundação para a Ciência e Tecnologia (FCT) and the European Community fund FEDER, under the Program PT2020 (Project UID/EQU/50020/2013) and under the strategic funding of UID/BIO/04469/2013 unit.

Identificador

Dias, Luís G.; Alberto, Zelda; Veloso, Ana C. A.; Peres, António M., Electronic tongue: a versatile tool for mineral and fruit-flavored waters recognition. Journal of Food Measurement and Characterization, 10(2), 264-273, 2016

2193-4126

http://hdl.handle.net/1822/41657

2193-4134

10.1007/s11694-015-9303-y

Idioma(s)

eng

Publicador

Springer Verlag

Relação

info:eu-repo/grantAgreement/FCT/5876/147286/PT

info:eu-repo/grantAgreement/FCT/5876/147337/PT

http://www.springer.com/food+science/journal/11694

Direitos

info:eu-repo/semantics/embargoedAccess

Palavras-Chave #Natural mineral waters #Fruit-flavored waters #Water quality parameters #Electronic tongue #Discriminant analysis #Multiple linear regression models
Tipo

info:eu-repo/semantics/article