Archaeometric classification of ancient human fossil bones, with particular attention to their carbonate content, using chemometrics, thermogravimetry and ICP emission

Chemistry Central Journal

Alfredo Coppa²  Luigi Campanella¹  Federico Marini¹  Mauro Tomassetti¹ 

[1]Department of Chemistry, University of Rome “La Sapienza”, P.le Aldo Moro, 5-00185 Rome, Italy

[2]Department of Environmental Biology, University of Rome “La Sapienza”, P.le Aldo Moro, 5-00185 Rome, Italy

关键词: Carbonate thermal decomposition;    Principal component analysis (PCA);    Inductively coupled plasma (ICP);    Fossil bones;    Thermal analysis;   

Others  :  787785
DOI  :  10.1186/1752-153X-8-26

 received in 2013-10-22, accepted in 2014-04-03,  发布年份 2014

【 摘 要 】

Background

The potential of coupling chemometric data processing techniques to thermal analysis for formulating an “archaeometric” classification of fossil bones was investigated. Moreover, the possibility of integrating the outcomes of this approach with the results of inductively coupled plasma (ICP) emission spectroscopy for an anthropological interpretation of the observed patterns was also examined.

Results

Several fossil bone samples coming from the necropolis of El Geili, in the middle Nile, an important archaeological site, were first of all subjected to thermogravimetric (TG) and derivative thermogravimetric (DTG) analysis and the main steps of the curves were analyzed. This allowed fossil bone samples to be differentiated, both by means of classical bidimensional and chemometric representations, namely Principal Component Analysis (PCA). In particular, two clusters were observed, attributable to samples of different antiquity. In addition, inductively coupled plasma (ICP) emission spectroscopy showed that the samples in the cluster corresponding to more recent burials are characterized by a higher Zn content, suggesting a more varied diet.

Conclusions

The experimental data obtained using thermogravimetry (TG-DTG) allows us to differentiate all the fossil bone samples analyzed into two separate clusters and to interpret this differentiation in terms of the observed transitions.

【 授权许可】

   
2014 Tomassetti et al.; licensee Chemistry Central Ltd.

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