at Google ScholarTitle data
Ofner, Johannes ; Kamilli, Katharina ; Eitenberger, Elisabeth ; Friedbacher, Gernot ; Lendl, Bernhard ; Held, Andreas ; Lohninger, Hans:
Chemometric analysis of multisensor hyperspectral images of precipitated atmospheric particulate matter.
In: Analytical Chemistry.
Vol. 87
(2015)
Issue 18
.
- pp. 9413-9420.
ISSN 1520-6882
DOI: https://doi.org/10.1021/acs.analchem.5b02272
Abstract in another language
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.