Literature DB >> 25770612

Non-invasive quantitative micro-PIXE-RBS/EBS/EBS imaging reveals the lost polychromy and gilding of the Neo-Assyrian ivories from the Louvre collection.

Marie Albéric1, Katharina Müller1, Laurent Pichon2, Quentin Lemasson2, Brice Moignard2, Claire Pacheco2, Elisabeth Fontan3, Ina Reiche4.   

Abstract

Antique objects are known to have been brightly colored. However, the appearance of these objects has changed over time and paint traces are rarely preserved. The surface of ivory objects (8th century B.C., Syria) from the Louvre museum collection (Paris) have been non-invasively studied by simultaneous particle-induced X-ray emission (PIXE) and Rutherford and elastic backscattering spectrometry (RBS/EBS) micro-imaging at the AGLAE facility (C2RMF, Paris). Qualitative 2D chemical images of elements ranging from Na to Pb on the surface of the ancient ivory carvings provide evidence of lost polychromy and gilding. Quantitative PIXE data of specific areas allow discrimination between traces of sediments and former polychromy. Different shades of blue can be differentiated from particular Pb/Cu ratios. The characterization of gilding based on RBS data demonstrates the exceptional technological skills of the Phoenician craftsmen supposed to have carved the Arslan Tash ivories. More precise reconstructions of the original polychromy compared to previous studies and a criterion for the authentication of ancient gilded ivory object are proposed.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Au NPs; Elemental imaging; Ivory; Micro-PIXE–RBS/EBS; Paints

Year:  2015        PMID: 25770612     DOI: 10.1016/j.talanta.2015.01.029

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  Proton beam irradiation induces invisible modifications under the surface of painted parchment.

Authors:  Katharina Müller; Zita Szikszai; Ákos Csepregi; Róbert Huszánk; Zsófia Kertész; Ina Reiche
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

  1 in total

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