RT info:eu-repo/semantics/article
T1 A new data analysis approach for an AgNPs-modified impedimetric bioelectronic tongue for dairy analysis
A1 Pérez González, Clara
A1 Salvo Comino, Coral
A1 Martín Pedrosa, Fernando
A1 Rodríguez Méndez, María Luz
A1 García Cabezón, Ana Cristina
K1 Alimentos - Análisis
K1 Biosensor
K1 Electronic tongue
K1 Milk
K1 lengua electrónica
K1 Leche
K1 3309 Tecnología de Los Alimentos
AB An alternative approach to analyze complex matrices, such as milk, lies on multivariate description of the chemical composition of samples, where fingerprints for each sample are generated using data mining methods (Principal Component Analysis, PCA, and Supported Vector Machine). Electronic tongues (ET) hold substantial potential for the dairy industry as analytical tools due to their fast analysis. The purpose of this work was to create an impedimetric ET with an array of microelectrode sensors for application in the dairy industry. A sensor array with enhanced sensitivity and selectivity silver nanoparticles and enzymes were developed. Higher sensitivity was evident in the responses of this array to milk components of interest like glucose, galactose, lactose, and urea. PCA of the signals obtained using the optimized ET has allowed the discrimination of milks with different characteristics. SVM was used to stablish correlations between the signals obtained from the ET and the physicochemical parameters. Electrochemical Impedance Spectroscopy have also shown that the ET in combination with the equivalent circuits approach could be a potential tool for its further application in dairy analysis. Moreover, the study of milk samples confirmed the high cross-selectivity of the system which allowed the development of classification models and to stablish correlations between the ET and physicochemical parameters.
PB Elsevier
SN 0956-7135
YR 2024
FD 2024
LK https://uvadoc.uva.es/handle/10324/62584
UL https://uvadoc.uva.es/handle/10324/62584
LA eng
NO Food Control, 2024, vol. 156, 110136
NO Producción Científica
DS UVaDOC
RD 24-nov-2024