Abstract
Fourier transform infrared spectroscopy is a powerful analytical technique to study organic materials. However, in Cultural Heritage, since the sample under analysis is always a complicated matrix of several materials, data analysis performed through peak-by-peak comparisons of sample spectra with those of standard compounds is a tedious method that does not always provide good results. To overcome this problem, a chemometric model based on principal component analysis was developed to classify and identify organic binding media in artworks. The model allows the differentiation of five families of binders: drying oils, waxes, proteins, gums, and resins, taking into account the absorption bands in two characteristic spectral windows: C–H stretching and carbonyl band. This new methodology was applied in the characterization of binders in three kinds of artworks: papers of historical, archeological, and artistic value, easel paintings, and polychromed stone-based sculptures.
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Acknowledgments
A. Sarmiento is grateful to the Spanish Ministry of Education and Science for his FPU fellowship. This work was partially funded by the FP6 Project PAPERTECH (ref. INCO-CT-2004-509095) and by the Spanish MEC Project DILICO (ref. CTQ2005-09267-C02-01/PPQ). Authors would like to acknowledge Eleiz Museoa and Diputación Foral de Álava for letting them access to the real samples.
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Sarmiento, A., Pérez-Alonso, M., Olivares, M. et al. Classification and identification of organic binding media in artworks by means of Fourier transform infrared spectroscopy and principal component analysis. Anal Bioanal Chem 399, 3601–3611 (2011). https://doi.org/10.1007/s00216-011-4677-0
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DOI: https://doi.org/10.1007/s00216-011-4677-0