|Ofner, J; Kamilli, KA; Eitenberger, E; Friedbacher, G; Lendl, B; Held, A; Lohninger, H: Chemometric analysis of multisensor hyperspectral images of precipitated atmospheric particulate matter, Analytical Chemistry, 87, 9413-9420 (2015), doi:10.1021/acs.analchem.5b02272|
The chemometric analysis of multisensor hyperspectral data allows a comprehensive image-based analysis of precipitated atmospheric particles. Atmospheric particulate matter was precipitated on aluminum foils and analyzed by Raman microspectroscopy and subsequently by electron microscopy and energy dispersive X-ray spectroscopy. All obtained images were of the same spot of an area of 100 × 100 μm2. The two hyperspectral data sets and the high-resolution scanning electron microscope images were fused into a combined multisensor hyperspectral data set. This multisensor data cube was analyzed using principal component analysis, hierarchical cluster analysis, k-means clustering, and vertex component analysis. The detailed chemometric analysis of the multisensor data allowed an extensive chemical interpretation of the precipitated particles, and their structure and composition led to a comprehensive understanding of atmospheric particulate matter.