New Insights in Metallurgical Manufacturing in the Caucasian Area: The Case Study of Artefacts from the Samshvilde Citadel Ruins (South Georgia)

Author:

Rovella Natalia12,Albanese Maria Pia2,Alberghina Maria Francesca23ORCID,Schiavone Salvatore3,Ricca Michela2ORCID,Berikashvili David4,Kvakhadze Levan4,Tvaladze Shota4,Figoli Alberto1ORCID,La Russa Mauro Francesco2

Affiliation:

1. Institute on Membrane Technology, National Research Council of Italy (ITM-CNR) Via P. Bucci, Cubo 17/C, 87036 Rende, Italy

2. Department of Biology, Ecology and Earth Sciences (DiBEST), University of Calabria, 87036 Rende, Italy

3. S.T.Art-Test, Via Stovigliai, 88, 93015 Niscemi, Italy

4. Department of Archaeology, Anthropology and Art of the University of Georgia, Kostava St. 77a., 0171 Tbilisi, Georgia

Abstract

An archaeometric approach was applied to the study of the hoard found in the Samshvilde fortress, one of the richest areas of archaeological artefacts in Caucasian Georgia, since it is representative of the historical events from the Neolithic period until the most recent epochs. In this context, four coins dated back to the 12th–13th centuries AD to the reign of King Giorgi III, Queen Tamar, and King Giorgi IV of Georgia underwent different analytical methods to collect information about the technological production process, the probable forge location, and their conservation state. Optical microscope observations provided details about the decorations, the stylistic aspects, and a preliminary evaluation of the conservation state. Portable X-ray fluorescence and scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy analysis revealed a composition consisting almost exclusively of copper with a lower amount of tin, lead, and silver. Moreover, degradation products (copper chlorides and sulphates) and cuprite patina were identified. The metal-supplying areas could be related to the nearby Bolnisi Mining District, and the forge location could coincide with the hoard location in Samshvilde, but further data and analyses are necessary.

Publisher

MDPI AG

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