First combined application of photoacoustic and optical techniques to the study of an historical oil painting
Autori: Dal Fovo A., Tserevelakis G. J., Klironomou E., Zacharakis G., Fontana R.
Affiliazione autori: Consiglio Nazionale delle Ricerche – Istituto Nazionale di Ottica (CNR-INO), Largo e. Fermi 6, 50125, Firenze, Italy
Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas (IESL-FORTH), Heraklion, Greece
Abstract: Optical techniques are routinely applied in artworks analysis to obtain structural, morphological, and compositional information on the examined object in a non-invasive way. However, the complex structure of paintings, which can be sketched as multi-layer systems often including non-transparent layers, can hamper the penetration of the optical probe, making the non-invasive sectioning particularly challenging. Recently, cutting-edge photoacoustic (PA) methods have been tested on painted mock-ups to overcome the above-described detection limit of pure optical techniques, giving promising results. In this work, for the first time, PA measurements were taken on a nineteenth-century painting. Using a multi-modal approach, the effectiveness of the technique in revealing hidden features and providing cross-sectional measurements was assessed in comparison with other well-established pure optical techniques, namely multispectral Vis–NIR reflectography, UV imaging, fibre optics reflectance spectroscopy (FORS), optical coherence tomography (OCT), and laser scanning microprofilometry. Data integration allowed highlighting the capability of each method, proving the effectiveness of the proposed multi-modal approach. This successful application of the PA method on a real case study paves the way for its introduction among the other non-invasive techniques for paintings analysis.
Giornale/Rivista: EUROPEAN PHYSICAL JOURNAL PLUS
Volume: 136 (7) Da Pagina: 757-1 A: 757-16
Parole chiavi: photoacoustics
optical coherence tomography
Vis-NIR multispectral reflectography
cross-sectional analysisDOI: 10.1140/epjp/s13360-021-01739-8Citazioni: 2dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2022-05-22Riferimenti tratti da Isi Web of Knowledge: (solo abbonati) Link per visualizzare la scheda su IsiWeb: Clicca quiLink per visualizzare la citazioni su IsiWeb: Clicca qui