Non-invasive stratigraphic analyzes of gelatine-based modern painting materials with linear and nonlinear optical methods

Author:

Quintero Balbas DiegoORCID,Maestro-Guijarro LauraORCID,Carmona-Quiroga Paula MaríaORCID,Oujja MohamedORCID,Castillejo MartaORCID,Bettini Francesca,Porcinai Simone,Striova JanaORCID

Abstract

Abstract Stratigraphic analyzes of polychrome surfaces, such as paintings, often need samples to offer consistent results regarding the sequence and composition of the layers. Non-invasive methodologies based on linear and nonlinear optical techniques limit material removal from the objects. Recently, optical coherence tomography (OCT) has become the preferred choice of heritage scientists because it is a safe and fast alternative for studying transparent or semi-transparent layers. Yet, nonlinear optical microscopy (NLOM)) technique in its modality of multiphoton excitation fluorescence (MPEF) has emerged as a promising tool for the same purpose. Here, we explored linear (OCT and confocal Raman microspectroscopy (CRM)) and nonlinear (NLOM-MPEF) optical methods’ capability to investigate gelatine-based layers in mock-up samples and a painting dated 1939 by an artist from the Surrealistic entourage. The optical behavior of mock-up samples that imitate the painting stratigraphy and of six painting fragments detached from the support was also investigated with fiber optics reflectance spectroscopy and laser induced fluorescence (LIF). Thickness values from the mock-ups obtained with OCT, CRM, and MPEF have provided evidence of the complementarity, from a millimetric to a micrometric scale, and the limitations (e.g. strong fluorescence emission in CRM) of the methods. Moreover, the presence of gelatine was ascertained by LIF spectroscopy applied to the painting fragments and NLOM-MPEF confirmed its suitability as a non-invasive technique for investigating gelatine-based stratigraphic systems.

Funder

Spanish State Research Agency

Regione Toscana

Consejo Superior de Investigaciones Científicas

Next Generation EU – Humanities and Heritage Italian Open Science Cloud (H2IOSC) project

H2020 Research Infrastructures

Publisher

IOP Publishing

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