Benefits of applying combined diffuse reflectance FTIR spectroscopy and principal component analysis for the study of blue tempera historical painting

Navas, Natalia; Romero-Pastor, Julia; Manzano, Eloísa; Cardell, Carolina

doi:10.1016/j.aca.2008.10.008

Cited by 50 publications

(28 citation statements)

References 25 publications

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“…The principal components (PCs) were obtained using both the covariance data matrices (scaling by mean-centered data) and the correlation data matrixes (scaling by unit variance). Similar to previous works, [16,17] results were better when PCA was performed on correlation data matrices, so the results shown and discussed here correspond to autoscaled data. A simple centering data procedure is often adopted for spectral data [42,43] because the commonly applied autoscaling procedure assigns the same relevance to each spectral region.…”

Section: Principal Component Analysissupporting

confidence: 69%

“…The benefits of applying combined diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and PCA for identifying historical pigments and binders were highlighted recently. [16] A similar approach using Fourier transform infrared spectral data was applied to study the UV ageing process of proteinaceous paint binder. [17] The principles of quality control and multivariate statistical analysis of Raman spectral data were successfully applied to monitor the conservation state of pigmented and wooden works of arts.…”

Section: Introductionmentioning

confidence: 99%

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Raman spectroscopic discrimination of pigments and tempera paint model samples by principal component analysis on first‐derivative spectra

Navas

Romero-Pastor

Manzano

et al. 2010

J Raman Spectroscopy

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This work explores the application of principal component analysis (PCA) on first-derivative Raman spectra to investigate historical tempera paint model samples. Various paint model samples were prepared containing pure blue pigments (azurite, lapis lazuli and smalt), pure red pigments (cinnabar, minium and raw Sienna), pure white pigments (lead white, chalk and gypsum), pure egg yolk as binder and tempera model samples obtained by mixing each of the pigments with the binder, and further characterized by Raman spectroscopy. The corresponding Raman spectra were used to apply PCA in order to test whether spectral differences allowed discrimination of samples based on their composition. Multivariate analyses were performed separately on three data matrices, one for each color, namely, white, blue and red, corresponding to the model samples, and all containing the spectral data of the binder model sample. Different pretreatments, that is log and derivative spectra, were performed on the spectra since no pattern distributions were obtained when the original Raman spectra were analyzed. Nevertheless, the multivariate analysis of the original Raman spectra was able to track alterations of sensitive pigments due to laser interaction. Results showed the excellent ability of PCA, when applied to the derived Raman spectra, to discriminate model samples according to their differing compositions in the three groups of model samples tested. This is the first attempt to use this approach in the field of cultural heritage and demonstrates the potential benefits for identifying historical pigments and binders for purposes of conservation and restoration.

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Section: Principal Component Analysissupporting

confidence: 69%

Section: Introductionmentioning

confidence: 99%

Raman spectroscopic discrimination of pigments and tempera paint model samples by principal component analysis on first‐derivative spectra

Navas

Romero-Pastor

Manzano

et al. 2010

J Raman Spectroscopy

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“…ATR, DRIFT, PAS spectroscopies, FT-IR microspectroscopy, etc.) ensures high versatility in investigating both organic and inorganic materials in Cultural Heritage, for several purposes, such as diagnostic [1][2][3][4][5][6] and localization of materials in paint cross sections [7][8][9][10][11][12]. Infrared spectroscopy is also a fundamental tool to investigate the degradation and ageing of organic materials in Cultural Heritage.…”

Section: Introductionmentioning

confidence: 99%

Fourier transform infrared spectroscopic study of rabbit glue/inorganic pigments mixtures in fresh and aged reference paint reconstructions

Pellegrini

Duce

Bonaduce

et al. 2016

Microchemical Journal

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We studied the interactions of rabbit glue, a collagen-based proteinaceous binder, with azurite (Cu3(CO3)2(OH)2), calcium carbonate (CaCO3), hematite (Fe2O3·nH2O), red lead (Pb3O4) and cinnabar (HgS) by Fourier transform infrared spectroscopy (FT-IR). The research was carried out on a set of paint reconstructions, which were analysed before and after artificial light ageing. A deconvolution of the amide I FT-IR absorption peak was performed with a written-in-house LabVIEW program to study the secondary structure of the glue.The changes in the glue conformation highlighted that all the inorganic pigments interact with the proteinaceous binder. The conformational changes were correlated with a loss of stability of the collagen structure, especially after ageing, likely due to the interlayer coordination of metals salts and oxide with protein functional groups. These results were correlated with the lower thermal stability of the glue/pigment mixtures with respect to the pure glue, evidenced by thermogravimetry (TG) and differential scanning calorimetry (DSC) analyses performed in a previous step of this work

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“…Amongst them AtR (attenuated total reflection) technique is commonly used due to its capability to measure in situ and no need for sample preparation [38]. Apart from AtR, a dRIFt technique (diffuse Reflectance Infrared Fourier transform Spectroscopy) is exploited for qualitative analysis of some dyes [39,40] even if the dye structure is unknown. however, dRIFt technique is particularly useful in the investigations of the powdered samples.…”

Section: Vibrational Spectroscopy Techniquesmentioning

confidence: 99%

Chemometric Analysis of Raman and IR Spectra of Natural Dyes

Ryguła

Miśkowiec

2013

Challenges and Advances in Computational Chemistry and Physics

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the use of chemometric methods in the analysis of Raman and IR spectra of dyes has opened new possibilities in the areas previously reserved only for chromatographic methods or conventional uv-vis studies. this chapter is focused on the analysis of natural dyes, especially carotenoids, flavonoids, anthraquinones and indigoids presented in biological samples e.g. plants or food. the discussed chemometric methods are implemented both in the qualitative and quantitative determination of colorants with the techniques of vibrational spectroscopy

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Benefits of applying combined diffuse reflectance FTIR spectroscopy and principal component analysis for the study of blue tempera historical painting

Cited by 50 publications

References 25 publications

Raman spectroscopic discrimination of pigments and tempera paint model samples by principal component analysis on first‐derivative spectra

Raman spectroscopic discrimination of pigments and tempera paint model samples by principal component analysis on first‐derivative spectra

Fourier transform infrared spectroscopic study of rabbit glue/inorganic pigments mixtures in fresh and aged reference paint reconstructions

Chemometric Analysis of Raman and IR Spectra of Natural Dyes

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