RT info:eu-repo/semantics/article
T1 Improving the performance of a bioelectronic tongue using silver nanowires. Application to milk analysis
A1 Salvo Comino, Coral
A1 Martín Bartolomé, Patricia
A1 Pura Ruiz, José Luis
A1 Pérez González, Clara
A1 Martín Pedrosa, Fernando
A1 García Cabezón, Ana Cristina
A1 Rodríguez Méndez, María Luz
K1 Electronic tongue
K1 Lengua electrónica
K1 Electrochemical sensors
K1 Sensores electroquímicos
K1 Milk
K1 Leche
AB Recent advances in the field of electronic tongues (ET) are linked to the development of devices dedicated to a particular application. Following this idea, we have developed a voltammetric bioelectronic tongue (bioET) specifically dedicated to analyze milk. The performance of the multisensor system has been improved by incorporating biosensors combining specific enzymes for the detection of sugars present in milk (β-galactosidase, glucose oxidase and galactose oxidase) with silver nanomaterials. It has been demonstrated that silver nanowires (AgNWs) provide a more effective platform for the immobilization of biomolecules than silver nanoparticles (AgNPs), inducing unique performance characteristics in terms of sensitivity and detection limits. Two multisensor systems have been developed; one based on combinations of AgNWs and enzymes (AgNW/bioET) and a second based on combinations of AgNPs and enzymes (AgNP/bioET). Principal component analysis (PCA) demonstrates that the bioET based on combinations of AgNWs and enzymes (AgNW/bioET) can discriminate 9 classes of milk with different fat content (skimmed, semi-skimmed and whole), as well as different nutritional compositions (classic, calcium-enriched and lactose-free), with a higher capacity than the bioET based on combinations of AgNPs and enzymes (AgNP/bioET). Support vector machine (SVMR) models show excellent correlation coefficients between the responses of the bioETs and physicochemical parameters commonly used to evaluate the quality of milk (acidity, density, fat, proteins, lactose, total dry matter and non-fat dry matter). The good results obtained support the dairy industry’s interest in dedicated bioETs, not only for classification purposes but also to obtain information concerning several physicochemical parameters in a single
PB Elsevier
SN 0925-4005
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/52836
UL https://uvadoc.uva.es/handle/10324/52836
LA eng
NO Sensors and Actuators B: Chemical, 2022, vol. 364, 131877
NO Producción Científica
DS UVaDOC
RD 19-nov-2024