Fast identification of biominerals by means of stand-off laser-induced breakdown spectroscopy using linear discriminant analysis and artificial neural networks

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Authors	VÍTKOVÁ Gabriela NOVOTNÝ Karel PROKEŠ Lubomír HRDLIČKA Aleš KAISER Jozef NOVOTNÝ Jan MALINA Radomír PROCHAZKA David
Year of publication	2012
Type	Article in Periodical
Magazine / Source	Spectrochimica Acta B
MU Faculty or unit	Central European Institute of Technology
Citation
Web	http://www.sciencedirect.com/science/article/pii/S0584854712001279
Doi	http://dx.doi.org/10.1016/j.sab.2012.05.010
Field	Analytic chemistry
Keywords	Stand-off LIBS; PCA; LDA; ANN; Biominerals; Geomaterials; Archeology
Description	The goal of this paper is to compare two selected statistical techniques used for identification of archeological materials merely on the base of their spectra obtained by stand-off laser-induced breakdown spectroscopy(stand-off LIBS). Data processing using linear discriminant analysis (LDA) and artificial neural networks (ANN) were applied on spectra of 18 different samples, some of them archeological and some recent, containing 7 types of material (i.e. shells, mortar, bricks, soil pellets, ceramic, teeth and bones). As the input data PCA scores were taken. The intended aim of this work is to create a database for simple and fast identification of archeological or paleontological materials in situ. This approach can speed up and simplify the sampling process during archeological excavations that nowadays tend to be quite damaging and timeconsuming.
Related projects:	Utilization of the laser induced breakdown spectroscopy (LIBS) and laser ablation ICP-OES/MS spectroscopy for chemical mapping of biominerals CEITEC - Central European Institute of Technology