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Automatic classification system of Raman spectra applied to pigments analysis

Author
González, J.; Perez-Pueyo, R.; Soneira, M.J.
Type of activity
Journal article
Journal
Journal of raman spectroscopy
Date of publication
2016-12-01
Volume
47
Number
12
First page
1408
Last page
1414
DOI
https://doi.org/10.1002/jrs.4908 Open in new window
Repository
http://hdl.handle.net/2117/102896 Open in new window
URL
http://onlinelibrary.wiley.com/doi/10.1002/jrs.4908/abstract Open in new window
Abstract
Raman 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 p...
Citation
González, 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.
Keywords
Automatic classification, Multiple discriminant analysis, Pigments, Principal component analysis, Raman spectroscopy
Group of research
GCO - Optical Communications Group

Participants