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Analysis of red chalk drawings from the workshop of Giovanni Battista Piranesi using fiber optics reflectance spectroscopy

Krämer, Maria; Henniges, Ute; Brückle, Irene; Lenfant, Laura 1; Drüppel, Kirsten 1
1 Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)

Abstract:

The viability of fiber optics reflectance spectroscopy (FORS) for the differentiation of red chalk drawing media was investigated, focusing on the group of drawings from the workshop of Giovanni Battista Piranesi (1720–1778) at the Staatliche Kunsthalle Karlsruhe, Germany. The evaluation of spectra was supported by principal component analysis (PCA). The method was tested on mock-up drawings made with recently acquired natural and synthetic red chalks of known origin. It was possible to sort these mock-up drawings according to chalk type and application technique. The compositional differences of these reference chalks were confirmed by X-ray diffraction (XRD) and scanning electron microscopy (SEM). Subsequent FORS analysis of selected original drawings revealed the existence of several closely grouped clusters, implying similarities on the basis of the underlying spectral features among the historical red chalks used in Rome. These similarities distinguished the historical drawings from the red chalk mock-up drawings, except for the drawings made with red chalk samples from the area near the town of Theley, Germany, which were shown to bear close similarities to those in the cluster of historical samples.


Verlagsausgabe §
DOI: 10.5445/IR/1000137727
Veröffentlicht am 22.09.2021
Originalveröffentlichung
DOI: 10.1186/s40494-021-00578-1
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Geowissenschaften (AGW)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2050-7445
KITopen-ID: 1000137727
Erschienen in Heritage Science
Verlag SpringerOpen
Band 9
Heft 1
Seiten 112
Nachgewiesen in Scopus
Dimensions
Web of Science
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