Classification of biominerals by means of Laser Induced Breakdown Spectroscopy (LIBS) and Artificial Neural Networks

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Authors

NOVOTNÝ Karel GALIOVÁ Michaela HOLÁ Markéta KANICKÝ Viktor KAISER Jozef

Year of publication 2010
Type Article in Periodical
Magazine / Source ICP Information Newsletter, Inc.
MU Faculty or unit

Faculty of Science

Citation
Field Analytic chemistry
Keywords LIBS; biominerals; artificial neural network; ANN
Description The aim of this work is to analyze the feasibility of Artificial Neural Network (ANN) for the identification and classification of mineralized tissues and bio-mineral structures based on spectra obtained by LIBS. In this study, a set of different archeological samples are used to train and evaluate the ANN. For the identification of unknown samples the spectral emission of the plasma was first measured for known set of materials. The obtained spectra was used to train ANN and the output was defined as type of material (i.e. shell, mortar, soil, ceramic, tooth or bone).
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