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Analysis of milk using a portable potentiometric electronic tongue based on five polymeric membrane sensors

2021Journal article Open access
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dc.contributor.authorPérez-González, C.
dc.contributor.authorSalvo-Comino, Coral
dc.contributor.authorMartin-Pedrosa, Fernando
dc.contributor.authorDias, L.G.
dc.contributor.authorRodriguez-Perez, M.A.
dc.contributor.authorGarcia-Cabezon, Cristina
dc.contributor.authorRodriguez-Mendez, Maria Luz
dc.date.accessioned2021-07-29T08:45:14Z
dc.date.available2021-07-29T08:45:14Z
dc.date.issued2021
dc.description.abstractA portable potentiometric electronic tongue (PE-tongue) was developed and applied to evaluate the quality of milk with different fat content (skimmed, semi-skimmed, and whole) and with different nutritional content (classic, calcium-enriched, lactose-free, folic acid-enriched, and enriched in sterols of vegetal origin). The system consisted of a simplified array of five sensors based on PVC membranes, coupled to a data logger. The five sensors were selected from a larger set of 20 sensors by applying the genetic algorithm (GA) to the responses to compounds usually found in milk including salts (KCl, CaCl2, and NaCl), sugars (lactose, glucose, and galactose), and organic acids (citric acid and lactic acid). Principal component analysis (PCA) and support vector machine (SVM) results indicated that the PE-tongue consisting of a five-electrode array could successfully discriminate and classify milk samples according to their nutritional content. The PE-tongue provided similar discrimination capability to that of a more complex system formed by a 20-sensor array. SVM regression models were used to predict the physicochemical parameters classically used in milk quality control (acidity, density, %proteins, %lactose, and %fat). The prediction results were excellent and similar to those obtained with a much more complex array consisting of 20 sensors. Moreover, the SVM method confirmed that spoilage of unsealed milk could be correctly identified with the simplified system and the increase in acidity could be accurately predicted. The results obtained demonstrate the possibility of using the simplified PE-tongue to predict milk quality and provide information on the chemical composition of milk using a simple and portable system.pt_PT
dc.description.sponsorshipWe appreciate the financial support of MINECO-FEDER Plan Nacional (RTI 2018-097990-B-100) and Junta de Castilla y Leon - FEDER (VA275P18) and “Infraestructuras Red de Castilla y León (INFRARED)” UVA01pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPérez-González, C.; Salvo-Comino, C.; Martin-Pedrosa, F.; Dias, L.G.; Rodriguez-Perez, M.A.; Garcia-Cabezon, C.; Rodriguez-Mendez, M.L. (2021). Analysis of milk using a portable potentiometric electronic tongue based on five polymeric membrane sensors. Frontiers in Chemistry. ISSN 2296-2646. 9, p. 1.11pt_PT
dc.identifier.doi10.3389/fchem.2021.706460pt_PT
dc.identifier.issn2296-2646
dc.identifier.urihttp://hdl.handle.net/10198/23787
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPotentiometric electronic tonguept_PT
dc.subjectMilkpt_PT
dc.subjectDairypt_PT
dc.subjectFat contentpt_PT
dc.subjectLactosept_PT
dc.subjectAciditypt_PT
dc.titleAnalysis of milk using a portable potentiometric electronic tongue based on five polymeric membrane sensorspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleFrontiers in Chemistrypt_PT
oaire.citation.volume9pt_PT
person.familyNameDias
person.givenNameLuís G.
person.identifier.ciencia-id2F11-9092-FAAF
person.identifier.orcid0000-0002-1210-4259
person.identifier.scopus-author-id23569169900
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationeac8c166-4056-4ed0-8d8d-7ecb2c4481a5
relation.isAuthorOfPublication.latestForDiscoveryeac8c166-4056-4ed0-8d8d-7ecb2c4481a5

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