Chemometric Analysis of Multisensor Hyperspectral Images of Precipitated Atmospheric Particulate Matter

被引：27

作者：

Ofner, Johannes ^{[1
]}

Kamilli, Katharina A. ^{[2
]}

Eitenberger, Elisabeth ^{[1
]}

Friedbacher, Gernot ^{[1
]}

Lendl, Bernhard ^{[1
]}

Held, Andreas ^{[2
]}

Lohninger, Hans ^{[1
]}

机构：

[1] Vienna Univ Technol, Inst Chem Technol & Analyt, A-1060 Vienna, Austria

[2] Univ Bayreuth, Atmospher Chem, D-95448 Bayreuth, Germany

来源：

ANALYTICAL CHEMISTRY | 2015年 / 87卷 / 18期

关键词：

X-RAY-MICROANALYSIS; AEROSOL-PARTICLES; ELECTRON-MICROSCOPY; MASS-SPECTROMETRY; RAMAN; SPECTROSCOPY; RESOLUTION; CHEMISTRY; SIMS; SIZE;

D O I：

10.1021/acs.analchem.5b02272

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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 X 100 mu m(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.

引用

页码：9413 / 9420

页数：8

共 35 条

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