Synchrotron XRF spectroscopy for reading salt-encrusted cuneiform tablets.

Sci Rep

Department of Languages and Cultures, Ghent University, Blandijnberg 2, 9000, Ghent, Belgium.

Published: January 2025

Cuneiform tablets were a primary writing medium in the ancient Near East from the late fourth millennium BCE to the first century CE. Although these clay tablets were durable for daily use, prolonged burial over millennia has made them vulnerable to salt damage. Fluctuations in temperature and humidity cause the migration of salts to the surface of the tablets, damaging them and covering the inscriptions, making the text unreadable. Traditional preservation and restoration techniques, such as firing and tetraethyl orthosilicate (TEOS) treatments, although effective in making the text legible again, cause irreversible physicochemical alterations, compromising the historical integrity of the tablets. To address this issue, we used synchrotron radiation X-ray fluorescence (SR-XRF) spectroscopy to analyze cuneiform tablets covered by salts. This method enabled the recovery of previously unreadable texts without altering the nature of the tablets. Our findings highlight the importance of non-invasive methods for preserving and studying cuneiform tablets, maintaining their physicochemical integrity, and allowing for future analyses.

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41598-024-84394-0DOI Listing

Publication Analysis

Top Keywords

cuneiform tablets
16
tablets
8
making text
8
synchrotron xrf
4
xrf spectroscopy
4
spectroscopy reading
4
reading salt-encrusted
4
cuneiform
4
salt-encrusted cuneiform
4
tablets cuneiform
4

Similar Publications

Cuneiform tablets were a primary writing medium in the ancient Near East from the late fourth millennium BCE to the first century CE. Although these clay tablets were durable for daily use, prolonged burial over millennia has made them vulnerable to salt damage. Fluctuations in temperature and humidity cause the migration of salts to the surface of the tablets, damaging them and covering the inscriptions, making the text unreadable.

View Article and Find Full Text PDF

Cuneiform writing, an old art style, allows us to see into the past. Aside from Egyptian hieroglyphs, the cuneiform script is one of the oldest writing systems. It emerged in the second half of the fourth millennium BC.

View Article and Find Full Text PDF

Before the introduction of domestic horses in Mesopotamia in the late third millennium BCE, contemporary cuneiform tablets and seals document intentional breeding of highly valued equids called kungas for use in diplomacy, ceremony, and warfare. Their precise zoological classification, however, has never been conclusively determined. Morphometric analysis of equids uncovered in rich Early Bronze Age burials at Umm el-Marra, Syria, placed them beyond the ranges reported for other known equid species.

View Article and Find Full Text PDF

Deep learning of cuneiform sign detection with weak supervision using transliteration alignment.

PLoS One

January 2021

Heidelberg Collaboratory for Image Processing, Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany.

The cuneiform script provides a glimpse into our ancient history. However, reading age-old clay tablets is time-consuming and requires years of training. To simplify this process, we propose a deep-learning based sign detector that locates and classifies cuneiform signs in images of clay tablets.

View Article and Find Full Text PDF

Restoration of fragmentary Babylonian texts using recurrent neural networks.

Proc Natl Acad Sci U S A

September 2020

Faculty of Social Sciences and Humanities, Digital Humanities Ariel Lab, Ariel University, Ariel 40700, Israel

The main sources of information regarding ancient Mesopotamian history and culture are clay cuneiform tablets. Many of these tablets are damaged, leading to missing information. Currently, the missing text is manually reconstructed by experts.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!