SINBAD-IR beamline at DAFNE-Light: applications and developments of FT-IR spectroscopy in the field of Cultural Heritage

21 Oct 2024, 14:45
20m
Talk Cultural Heritage Cultural Heritage

Speaker

Martina Romani (Istituto Nazionale di Fisica Nucleare)

Description

The SINBAD-IR beamline at the INFN-Frascati National Laboratories, uses the synchrotron radiation produced by the DAΦNE electron ring, and conventional IR sources, for spectroscopy and imaging experiments targeting materials’ characterization across the infrared spectral range, from THz to NIR [1].
In the Cultural Heritage field, FT-IR spectroscopy is often used to study the spectral response of materials, including the characterization of paintings, the evaluation of the effectiveness of cleaning treatments, and the assessment of artworks’ conservation states [2,3]
The high precision and accuracy of IR spectroscopy, combined with its non-destructive nature and the possibility of working on very small samples makes it the ideal technique for the chemical and mineralogical characterization of materials constituting artworks. Some of the applications carried out at the synchrotron radiation laboratory on Cultural Heritage materials, highlighting the advantages of the technique and future developments [4] will be reported.

References
[1] M. Cestelli Guidi, et al. "Optical performances of SINBAD, the synchrotron infrared beamline at DAΦNE." JOSA A 22.12 (2005): 2810-2817.
[2] L. Pronti, M. Romani, M. Ioele, G. Tranquilli, F. Fumelli, S. Sechi, & M. Cestelli Guidi, (2024). Using MA-rFTIR Mapping as a Tool to Assess the Efficacy of Cleaning Treatments and to Aid in the Restoration Activities of Paintings. Coatings, 14(4), 511.
[3] M. F., La Russa, S. A., Ruffolo, G. Barone, G.M., Crisci, P. Mazzoleni & Pezzino, A. (2009). The Use of FTIR and Micro‐FTIR Spectroscopy: An Example of Application to Cultural Heritage. International Journal of Spectroscopy, 2009(1), 893528.
[4] G. Capobianco, L. Pronti, E. Gorga, M. Romani, M., Cestelli-Guidi, S. Serranti, & G. Bonifazi, (2024). Methodological approach for the automatic discrimination of pictorial materials using fused hyperspectral imaging data from the visible to mid-infrared range coupled with machine learning methods. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 304, 123412.

Primary author

Martina Romani (Istituto Nazionale di Fisica Nucleare)

Co-authors

Dr Lucilla Pronti (INFN-Laboratori Nazionali di Frascati, via Enrico Fermi 54, 00044, Frascati (Italia)) Giacomo Viviani (INFN-Laboratori Nazionali di Frascati, via Enrico Fermi 54, 00044, Frascati (Italia)) Marco Pietropaoli (INFN-Laboratori Nazionali di Frascati, via Enrico Fermi 54, 00044, Frascati (Italia)) Vittorio Sciarra (INFN-Laboratori Nazionali di Frascati, via Enrico Fermi 54, 00044, Frascati (Italia)) Dr Mariangela Cestelli Guidi (INFN-Laboratori Nazionali di Frascati, via Enrico Fermi 54, 00044, Frascati (Italia))

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