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dc.contributor.author
Caceres, Jorge
dc.contributor.author
Moncayo, Samuel
dc.contributor.author
Rosales, Juan D.
dc.contributor.author
de Villena, Francisco Javier Manuel
dc.contributor.author
Alvira, Fernando Carlos
dc.contributor.author
Bilmes, Gabriel M.
dc.date.available
2017-01-26T20:29:45Z
dc.date.issued
2013-09
dc.identifier.citation
Caceres, Jorge; Moncayo, Samuel; Rosales, Juan D.; de Villena, Francisco Javier Manuel; Alvira, Fernando Carlos; et al.; Application of Laser-Induced Breakdown Spectroscopy (LIBS) and Neural Networks to olive oils analysis; Soc Applied Spectroscopy; Applied Spectroscopy; 67; 9; 9-2013; 1064-1072
dc.identifier.issn
0003-7028
dc.identifier.uri
http://hdl.handle.net/11336/12031
dc.description.abstract
The adulteration and traceability of olive oils are serious problems in the olive oil industry. In this work, a method based on laser-induced breakdown spectroscopy (LIBS) and neural networks (NNs) has been developed and applied to the identification, quality control, traceability, and adulteration detection of extra virgin olive oils. Instant identification of the samples is achieved using a spectral library, which was obtained by analysis of representative samples using a single laser pulse and treatment by NNs. The samples used in this study belong to four countries. The study also included different regions of each country. The results obtained allow the identification of the oils tested with a certainty of more than 95%. Single-shot measurements were enough for clear identification of the samples. The method can be developed for automatic real-time, fast, reliable, and robust measurements, and the system can be packed into portable form for non-specialist users.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Soc Applied Spectroscopy
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Laser-Induced Breakdown Spectroscopy
dc.subject
Libs
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Neural Networks
dc.subject
Olive Oils
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Edible Oils
dc.subject.classification
Óptica
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Ciencias Físicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Application of Laser-Induced Breakdown Spectroscopy (LIBS) and Neural Networks to olive oils analysis
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-01-24T14:42:24Z
dc.journal.volume
67
dc.journal.number
9
dc.journal.pagination
1064-1072
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Maryland
dc.description.fil
Fil: Caceres, Jorge. Universidad Complutense de Madrid; España
dc.description.fil
Fil: Moncayo, Samuel. Universidad Complutense de Madrid; España
dc.description.fil
Fil: Rosales, Juan D.. Universidad Complutense de Madrid; España
dc.description.fil
Fil: de Villena, Francisco Javier Manuel. Universidad Complutense de Madrid; España
dc.description.fil
Fil: Alvira, Fernando Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
dc.description.fil
Fil: Bilmes, Gabriel M.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional de La Plata. Facultad de Ingenieria; Argentina
dc.journal.title
Applied Spectroscopy
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1366/12-06916
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://journals.sagepub.com/doi/abs/10.1366/12-06916
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