scholarly journals Visualization, Documentation and Non-Destructive Investigation of an Ancient Egyptian Corn Mummy in a Falcon-shaped Wooden Coffin

2021 ◽  
Vol 2 (1) ◽  
pp. 10-20
Author(s):  
Ahmed Tarek ◽  
Ibrahim Ali ◽  
Mohamed Abdelrahman
2020 ◽  
Author(s):  
Charles-Emmanuel Dutoit ◽  
Laurent Binet ◽  
Hitomi Fujii ◽  
Agnes Lattuati-Derieux ◽  
Didier Gourier

The black matter employed in funeral context by ancient Egyptian is a complex mixture of plant-based compounds with variable amounts of bitumen. Asphaltene, the most resistant component of bitumen, contain Vanadyl porphyrins and carbonaceous radicals which can be used as paramagnetic probes to investigate embalming materials without sample preparation. Electron Paramagnetic Resonance (EPR) at X-band, combining in-phase and out-of-phase detection schemes, provides new information in a non-destructive way about the presence, the origin, and the evolution of bitumen in these complex materials. It is found that the relative EPR intensity of radicals and vanadyl porphyrins is sensitive to the origin of the bitumen. The presence of non-porphyrinic vanadyl complexes in historical samples is likely due to the complexation of VO2+ ions by carboxylic functions at the interface between bitumen and other biological components of the embalming matter. The absence of such oxygenated vanadyl complex in natural bitumen and in one case of historical human mummy acquired by a museum in the 19th century reveals a possible, non-documented, ancient restoration of this mummy by pure bitumen. The linear correlation between in-phase and out-of phase EPR intensities of radicals and vanadyl porphyrins in balms and in natural bitumen, reveals a nanostructuration of radicals and vanadyl porphyrin complexes, which was not affected by the preparation of the balm. This points to the remarkable chemical stability of paramagnetic probes in historical bitumen in ancient Egypt.


Author(s):  
Patricia I. Lambert-Zuzulak

This paper will present an outline of the history and purpose of the setting up of the International Ancient Egyptian Mummy Tissue Bank at the University of Manchester. Initiated in the context of the worldwide Schistosomiasis Research Project, the Tissue Bank aims to locate ancient Egyptian human remains worldwide outside of Egypt. Where it is possible, and when permission can be granted, the Tissue Bank collects deposits of small samples of mummy tissue, in order that they may be available for use in appropriate scientific research projects. Non-destructive sampling techniques, including endoscopy, are applied in order to preserve the conservation of mummies and to handle and store human remains ethically. Research facilitated by the large numbers of samples deposited in the Tissue Bank includes the palaeoepidemiology of schistosomiasis and other diseases, as well as the study of lifestyle and cultural factors, including insights into medical practices and embalming techniques.


2021 ◽  
Vol 63 (1) ◽  
pp. 12-19
Author(s):  
S Ivashov ◽  
T D Bechtel ◽  
V Razevig ◽  
L Capineri ◽  
M Inagaki

The study of ancient Egyptian monuments attracts the attention of experts from around the world. A recent event that confirms this is the discovery, using muon sensors, of previously unknown cavities in the Great Pyramid of Giza (or Khufu's Pyramid). Since it is unfeasible to directly confirm this discovery by drilling, another independent non-destructive method is necessary to confirm this discovery and provide accurate determination of the locations and shapes of the cavities. Following a literature review of the different methods used in evaluating cultural objects, this paper analyses a possible framework for simulation of a holographic radar for detecting openings or other unknown structures of interest to archaeologists/Egyptologists and the public.


2020 ◽  
Author(s):  
Charles-Emmanuel Dutoit ◽  
Laurent Binet ◽  
Hitomi Fujii ◽  
Agnes Lattuati-Derieux ◽  
Didier Gourier

The black matter employed in funeral context by ancient Egyptian is a complex mixture of plant-based compounds with variable amounts of bitumen. Asphaltene, the most resistant component of bitumen, contain Vanadyl porphyrins and carbonaceous radicals which can be used as paramagnetic probes to investigate embalming materials without sample preparation. Electron Paramagnetic Resonance (EPR) at X-band, combining in-phase and out-of-phase detection schemes, provides new information in a non-destructive way about the presence, the origin, and the evolution of bitumen in these complex materials. It is found that the relative EPR intensity of radicals and vanadyl porphyrins is sensitive to the origin of the bitumen. The presence of non-porphyrinic vanadyl complexes in historical samples is likely due to the complexation of VO2+ ions by carboxylic functions at the interface between bitumen and other biological components of the embalming matter. The absence of such oxygenated vanadyl complex in natural bitumen and in one case of historical human mummy acquired by a museum in the 19th century reveals a possible, non-documented, ancient restoration of this mummy by pure bitumen. The linear correlation between in-phase and out-of phase EPR intensities of radicals and vanadyl porphyrins in balms and in natural bitumen, reveals a nanostructuration of radicals and vanadyl porphyrin complexes, which was not affected by the preparation of the balm. This points to the remarkable chemical stability of paramagnetic probes in historical bitumen in ancient Egypt.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260707
Author(s):  
Marc Tanti ◽  
Camille Berruyer ◽  
Paul Tafforeau ◽  
Adrian Muscat ◽  
Reuben Farrugia ◽  
...  

Propagation Phase Contrast Synchrotron Microtomography (PPC-SRμCT) is the gold standard for non-invasive and non-destructive access to internal structures of archaeological remains. In this analysis, the virtual specimen needs to be segmented to separate different parts or materials, a process that normally requires considerable human effort. In the Automated SEgmentation of Microtomography Imaging (ASEMI) project, we developed a tool to automatically segment these volumetric images, using manually segmented samples to tune and train a machine learning model. For a set of four specimens of ancient Egyptian animal mummies we achieve an overall accuracy of 94–98% when compared with manually segmented slices, approaching the results of off-the-shelf commercial software using deep learning (97–99%) at much lower complexity. A qualitative analysis of the segmented output shows that our results are close in terms of usability to those from deep learning, justifying the use of these techniques.


2019 ◽  
Vol 145 ◽  
pp. 1207-1217 ◽  
Author(s):  
Dennis Braekmans ◽  
Vanessa Boschloos ◽  
Hendrik Hameeuw ◽  
Athena Van der Perre

Sign in / Sign up

Export Citation Format

Share Document