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Unveiling hidden text: advanced X-ray fluorescence imaging of severely damaged manuscript folios from MS Turin, BNU, L.II.14 (T)

Claudia Caliri, Eva Luna Ravan, Silvia Scardina Bottura, Sveva Longo, Francesco Paolo Romano e Marco Maulu
p. 341-346

Abstract

This study explores the application of the non-destructive X-ray fluorescence imaging technique (µ-XRF) on severely damaged pages of the medieval manuscript L.II.14 (T), housed in the Biblioteca Nazionale Universitaria di Torino (BNU). Following severe damage caused by the fire of 1904, the manuscript presents notable challenges for legibility and conservation. The use of the high-sensitivity and high-lateral resolution mobile µ-XRF scanning system developed by CNR-ISPC (Catania), equipped with real-time imaging capabilities, was installed at the BNU, allowing the acquisition of elemental distribution images of inks and pigments. The analytical results have enabled improvements in the readability of the heavily burnt texts. This first diagnostic campaign represents a crucial step toward the development of a non-invasive analytical protocol aimed at preserving and recovering the text of T, while also characterizing the materials and artistic techniques used in the miniatures. Additionally, it will enhance our understanding of the degradation mechanisms, aiding in the formulation of appropriate conservation strategies.

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Estratto del testo

Questo documento sarà pubblicato online con testo integrale in agosto 2026.

Piano

1. Micro-XRF imaging technique
2. The measurement campaign
3. Micro-XRF scanning system
4. Results and discussion
5. Conclusion

Anteprima del testo

1. Micro-XRF imaging technique

In recent decades, the growing interest in the use of X-ray Fluorescence (XRF) imaging techniques has been driven by demand from scholars in the humanities, archaeologists, conservators, art historians, and experts in ancient texts and documents. These specialists aim to deepen understanding of the original materials (such as the nature of inks and pigments) that constitute cultural heritage objects, as well as the execution and production techniques used in their creation, to assess and predict their current and future conservation state.

XRF imaging is a well-established, non-destructive analytical technique based on scanning the sample surface with a focused X-ray beam on a micrometric or sub millimetric scale. This technique allows for high lateral resolution two-dimensional (2D) distribution images of inorganic chemical elements characterizing the studied sample. XRF imaging enables the examination of an entire sample surface without leaving any par...

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Notizia bibliografica

Claudia Caliri, Eva Luna Ravan, Silvia Scardina Bottura, Sveva Longo, Francesco Paolo Romano e Marco Maulu, «Unveiling hidden text: advanced X-ray fluorescence imaging of severely damaged manuscript folios from MS Turin, BNU, L.II.14 (T)»Studi Francesi, 206 (LXIX | II) | 2025, 341-346.

Notizia bibliografica digitale

Claudia Caliri, Eva Luna Ravan, Silvia Scardina Bottura, Sveva Longo, Francesco Paolo Romano e Marco Maulu, «Unveiling hidden text: advanced X-ray fluorescence imaging of severely damaged manuscript folios from MS Turin, BNU, L.II.14 (T)»Studi Francesi [Online], 206 (LXIX | II) | 2025, online dal 01 agosto 2026, consultato il 15 marzo 2026. URL: http://journals.openedition.org/studifrancesi/65349; DOI: https://doi.org/10.4000/15gi6

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Autori

Claudia Caliri

Consiglio Nazionale Delle Ricerche – Istituto Di Scienze Del Patrimonio Culturale Catania

Eva Luna Ravan

Consiglio Nazionale Delle Ricerche Istituto Di Scienze Del Patrimonio Culturale Catania – Università La Sapienza, Roma

Silvia Scardina Bottura

Consiglio Nazionale Delle Ricerche – Istituto Di Scienze Del Patrimonio Culturale Catania

Sveva Longo

Consiglio Nazionale Delle Ricerche - Istituto Di Scienze Del Patrimonio Culturale Catania

Francesco Paolo Romano

Consiglio Nazionale Delle Ricerche – Istituto Di Scienze Del Patrimonio Culturale Catania

Marco Maulu

Università Degli Studi Di Sassari

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CC-BY-NC-ND-4.0

The text only may be used under licence CC BY-NC-ND 4.0. All other elements (illustrations, imported files) may be subject to specific use terms.

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