Potential of multivariate analyses of X-ray fluorescence spectra for characterisation of the microchemical composition of plant materials
¹Riga Stradins University, Department of Pharmaceutical Chemistry, Dzirciema 16,
LV-1007 Riga, Latvia
²University of Latvia, Faculty of Chemistry, Jelgavas 1, LV-1004 Riga, Latvia
³Baltic Biomaterials Centre of Excellence, Headquarters at Riga Technical University, Kalku street 1, LV-1658 Riga, Latvia
*Correspondence: agnese.brangule@rsu.lv
Abstract:
The ED-XRF spectral patterns were used for multivariate principal component analyses by SIMCA strategy instead of each element concentration calculation. The model allows quickly analyse samples for similarity and differentiate them based on a little difference in spectral pattern, which corresponds to a minor difference in element concentration pattern. Samples with specific chemical composition could be easily spotted for in-depth analysis.
The proposed strategy for plant material sample chemical composition screening allows the quick method to improve laboratory work efficiency, reduce unnecessary analysis and rapid method for control reliability of results of more complex chemical methods, such as ICP-MS.
Key words:
chemometrics, ED-XRF, ICP-MS, Multivariate analysis, plants, screening analysis, SIMCA