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dc.contributor.authorGonzález Vidal, Juan José
dc.contributor.authorPérez Pueyo, Rosanna
dc.contributor.authorSoneira Ferrando, M. José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-03-27T08:54:47Z
dc.date.available2017-03-27T08:54:47Z
dc.date.issued2016-12-01
dc.identifier.citationGonzález, J., Perez-Pueyo, R., Soneira, M.J. Automatic classification system of Raman spectra applied to pigments analysis. "Journal of raman spectroscopy", 1 Desembre 2016, vol. 47, núm. 12, p. 1408-1414.
dc.identifier.issn0377-0486
dc.identifier.urihttp://hdl.handle.net/2117/102896
dc.description.abstractRaman spectroscopy is one of the few non-destructive techniques capable of identifying pigments in art works. Raman spectra contain powerful information that can be used to identify unknown compounds and their chemical structures. However, the analysis of spectral data comes with some difficulties, and therefore the spectral interpretation is not straightforward. Sometimes, there are very little differences in the spectral data concerning to specific identification objectives, for instance, in polymorphic discrimination or in the discrimination of natural and synthetic forms of certain pigments. Moreover, this discrimination is often performed manually so that the process can be repetitive, subjective and particularly time-consuming. The result is an increasing motivation to automate the identification process involved in the classification of pigments in paint. In this paper, we propose a system to automatically classify the spectral data into specific and well-known classes, i.e. reference classes. The proposal is based on a combination of chemometric techniques, which provides a powerful way to achieve spectral separability so that it is possible to discriminate between very similar spectra in an automatic way. In this regard, a decision-making algorithm was specifically developed to select the corresponding reference class with no user input, which was successfully validated using simulated spectra. The implemented methodology was used to classify Raman spectra of pigments commonly present in artist's paints in experimental cases, providing reliable and consistent results. Therefore, the presented system can play a good auxiliary role in the analysts' endpoint classification.
dc.format.extent7 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica::Fotònica
dc.subjectÀrees temàtiques de la UPC::Enginyeria química::Química analítica::Anàlisi espectral
dc.subject.lcshRaman spectroscopy
dc.subject.lcshAnàlisi espectral -- Instruments
dc.subject.lcshPigments
dc.subject.otherPigments
dc.subject.otherAutomatic classification
dc.subject.otherRaman spectroscopy
dc.subject.otherPrincipal component analysis
dc.subject.otherMultiple discriminant analysis
dc.titleAutomatic classification system of Raman spectra applied to pigments analysis
dc.typeArticle
dc.subject.lemacEspectroscòpia Raman
dc.subject.lemacSpectrum analysis -- Instruments
dc.subject.lemacPigments
dc.contributor.groupUniversitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.identifier.doi10.1002/jrs.4908
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://onlinelibrary.wiley.com/doi/10.1002/jrs.4908/abstract
dc.rights.accessOpen Access
drac.iddocument19527937
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorGonzález, J., Perez-Pueyo, R., Soneira, M.J.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJournal of raman spectroscopy
upcommons.citation.volume47
upcommons.citation.number12
upcommons.citation.startingPage1408
upcommons.citation.endingPage1414


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