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Updated: Apr 5, 2026

A Practical Guide on Coupling a Scanning Mobility Sizer and Inductively Coupled Plasma Mass Spectrometer SMPS-ICPMS
Published on: July 11, 2017
Chemometric analysis of multisensor hyperspectral images of precipitated atmospheric particulate matter
Johannes Ofner1, Katharina A Kamilli2, Elisabeth Eitenberger1
1Institute of Chemical Technologies and Analytics, TU Wien , Getreidemarkt 9, 1060 Vienna, Austria.
Abstract:
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 μm(2). 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.
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