2026-04-22T21:51:13Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/559762024-12-17T07:52:25Zcom_10324_31661com_10324_952com_10324_894col_10324_31662

Pérez González, Clara Salvo Comino, Coral Martín Pedrosa, Fernando García Cabezón, Ana Cristina Rodríguez Méndez, María Luz 2022-10-17T12:48:01Z 2022-10-17T12:48:01Z 2022 Food Control, Volume 145, 2023, 109425 0956-7135 https://uvadoc.uva.es/handle/10324/55976 10.1016/j.foodcont.2022.109425 Producción Científica Bioelectronic tongues (bioET) made of sensors combining enzymes and nanomaterials have been shown to be advantageous due to the specificity offered by the biosensors and the enhanced sensitivity provided by the nanomaterials. In this work, an innovative bioET for milk analysis is developed using potentiometric biosensors based on lactic dehydrogenase, galactose oxidase and urease specific for the detection of compounds of interest in milk (lactic acid, galactose and urea). The performance of the biosensors has been fostered by covalently immobilizing the enzymes on membranes of carboxylated polyvinyl chloride combined with gold nanoparticles. The design and composition of the biosensors contributes to preserving the enzymatic activity, allowing limits of detection in the range of 10−5 – 10−6 M with excellent sensitivity and reproducibility (variation coefficients ranged from 1 to 5.1%). The three biosensors, combined in a single device and coupled to a pattern recognition software, can discriminate efficiently twelve classes of milk with different fat content (skimmed, semi-skimmed and whole milk) and nutritional characteristics (calcium enriched, lactose free and folic acid-enriched). The bioET shows an excellent classification capability with an accuracy of up to 99.7%. By applying Support Vector Machine (SVM) analysis, the BioET can perform the simultaneous assessment of eight physicochemical parameters (acidity, fat, proteins, lactose, density, urea, dry matter and nonfat dry matter) with satisfactory correlation coefficients and low residual errors. The results are further improved by implementing ensemble methodologies. The proposed strategy has been demonstrated to be useful for improving the performance of bioETs in the dairy industry. Ministerio de Ciencia, Innovación y Universidades - Fondo Europeo de Desarrollo Regional (project RTI2018-097990-B-100) Junta de Castilla y León - Fondo Europeo de Desarrollo Regional (project VA202P20) Unión Europea - Fondo Europeo de Desarrollo Regional (project CLU-2019-04) application/pdf eng Elsevier info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ © 2022 Elsevier Attribution-NonCommercial-NoDerivatives 4.0 Internacional Bioelectronic tongue Lengua bioelectrónica Milk Leche Biosensors Biosensores Gold nanoparticles Nanopartículas de oro Bioelectronic tongue dedicated to the analysis of milk using enzymes linked to carboxylated-PVC membranes modified with gold nanoparticles info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion https://www.sciencedirect.com/science/article/pii/S0956713522006181?via%3Dihub SI