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Classification and detection of honey adulteration through corona discharge-induced plasma spectroscopy and electronic plasma nose
dc.creator | Ferrarra, Leonardo | |
dc.creator | Puntoriero, Luis | |
dc.creator | Boggio, Norberto | |
dc.creator | Vorobioff, Juan | |
dc.creator | Cáceres, Jorge | |
dc.creator | De Simone, Ricardo | |
dc.creator | Rinaldi, Carlos | |
dc.date.accessioned | 2024-03-19T20:26:25Z | |
dc.date.available | 2024-03-19T20:26:25Z | |
dc.date.issued | 2021-06-30 | |
dc.identifier.citation | Current Topics in Analytical Chemistry Volume 13 | es_ES |
dc.identifier.uri | http://www.researchtrends.net/tia/abstract.asp?in=0&vn=13&tid=30&aid=6975&pub=2021&type=3 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12272/9919 | |
dc.description.abstract | In the past, a large group of syrups and markers of honey adulteration have been identified, but new syrups are now closely matching their composition, and detection of honey adulteration is becoming considerably more difficult. In this work, we present a methodology that allows us to characterize honey samples providing a solution to this problem using corona discharge-induced plasma spectroscopy (CDIPS) in conjunction with electronic plasma nose (eP-Nose). Applying chemometric analysis it was possible to distinguish the different types of honey and determine the degree of adulteration in them with corn syrup. To our knowledge, this is the first time that this technique has been applied to determine the fingerprint (authenticity) of honey samples of different origins. The elemental composition of honey provides enough information to get correct discrimination of different adulteration. The result of the chemometric analysis showed over 98% certainty and all honey samples were correctly identified. There have been no instances of false positives or false negatives in our tests or applications. This methodology shows high potential as an alternative method for monitoring and analyzing the quality and purity in honey production, especially for fraud detection. | es_ES |
dc.format | es_ES | |
dc.language.iso | eng | es_ES |
dc.language.iso | eng | es_ES |
dc.rights | embargoedAccess | es_ES |
dc.subject | Classification, honey adulteration, corona discharge-induced plasma spectroscopy, plasma nose | es_ES |
dc.title | Classification and detection of honey adulteration through corona discharge-induced plasma spectroscopy and electronic plasma nose | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | Copyright © 2021 Research Trends. All rights reserved | es_ES |
dc.description.affiliation | Leonardo Ferrara1, Luis Puntoriero1, Norberto Boggio1,2 ,3, Juan Vorobioff3, Jorge O. Cáceres4, Ricardo De Simone5 and Carlos Rinaldi1,2,3,6,* 1 Escuela de Ciencia y Tecnología, Universidad Nacional de San Martin, 25 de Mayo 1021, San Martin 1650, Buenos Aires, Argentina; 2 CONICET, Godoy Cruz 2290, CABA, Argentina; 3 Departamento de Micro y Nanotecnología, Comisión Nacional de Energía Atómica, Buenos Aires 1650, Argentina. 4 Dpto. de Química Analítica, Facultad de Química Universidad Complutense de Madrid, Spain. 5 Argentum Texne S.A. José María Moreno 1657, C.A.B.A, Argentina; 6 Instituto de Tecnologías Emergentes y Ciencias Aplicadas, UNSAM, San Martin 1650, Buenos Aires, Argentina. | es_ES |
dc.description.peerreviewed | Peer Reviewed | es_ES |
dc.type.version | publisherVersion | es_ES |
dc.rights.use | Copyright © 2021 Research Trends. All rights reserved | es_ES |
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