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Complex Aerosol Nanostructures: Revealing the Phases from Multivariate Analysis on Elemental Maps Obtained by TEM-EDX

Deppert, Knut LU orcid ; Snellman, Markus LU ; Ek, Martin LU orcid and Persson, Axel LU orcid (2020) European Aerosol Conference 2020
Abstract
Transmission electron microscopy (TEM) is a popular off-line technique to study aerosol nanoparticles. Coupled with an X-ray detector, high-resolution elemental maps of the sample can be obtained by scanning the focused electron beam and collecting the emitted X-ray spectra, called energy dispersive X-ray spectroscopy (EDX). Interpretation of the acquired data can be difficult in the case of complex particles having regions of different and overlapping phases because the elemental distributions do not reveal phase information. However, the resulting large datacubes collected are well-suited for multivariate statistics techniques to reveal information clouded by the noise of raw spectra. In this work, we show the comparison between two... (More)
Transmission electron microscopy (TEM) is a popular off-line technique to study aerosol nanoparticles. Coupled with an X-ray detector, high-resolution elemental maps of the sample can be obtained by scanning the focused electron beam and collecting the emitted X-ray spectra, called energy dispersive X-ray spectroscopy (EDX). Interpretation of the acquired data can be difficult in the case of complex particles having regions of different and overlapping phases because the elemental distributions do not reveal phase information. However, the resulting large datacubes collected are well-suited for multivariate statistics techniques to reveal information clouded by the noise of raw spectra. In this work, we show the comparison between two multivariate techniques, hierarchical clustering and non-negative matrix factorization, to separate elemental maps into phase maps of Cu@Ag core@shell aerosol nanoparticles and aerotaxy nanowires. We compare the results of the Cu@Ag sample to X-ray photoelectric spectroscopy measurements as an independent measure of surface composition. (Less)
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author
; ; and
organization
publishing date
type
Contribution to conference
publication status
published
subject
conference name
European Aerosol Conference 2020
conference location
Aachen, Germany
conference dates
2020-08-31 - 2020-09-04
project
Aerosol Synthesis and Characterization of Heterogeneous Bimetallic Nanoparticles
language
Swedish
LU publication?
yes
id
644c4700-f1a6-4549-93b7-3f9a9f586122
date added to LUP
2020-11-30 10:01:35
date last changed
2023-12-07 11:36:08
@misc{644c4700-f1a6-4549-93b7-3f9a9f586122,
  abstract     = {{Transmission electron microscopy (TEM) is a popular off-line technique to study aerosol nanoparticles. Coupled with an X-ray detector, high-resolution elemental maps of the sample can be obtained by scanning the focused electron beam and collecting the emitted X-ray spectra, called energy dispersive X-ray spectroscopy (EDX). Interpretation of the acquired data can be difficult in the case of complex particles having regions of different and overlapping phases because the elemental distributions do not reveal phase information. However, the resulting large datacubes collected are well-suited for multivariate statistics techniques to reveal information clouded by the noise of raw spectra. In this work, we show the comparison between two multivariate techniques, hierarchical clustering and non-negative matrix factorization, to separate elemental maps into phase maps of Cu@Ag core@shell aerosol nanoparticles and aerotaxy nanowires. We compare the results of the Cu@Ag sample to X-ray photoelectric spectroscopy measurements as an independent measure of surface composition.}},
  author       = {{Deppert, Knut and Snellman, Markus and Ek, Martin and Persson, Axel}},
  language     = {{swe}},
  month        = {{09}},
  title        = {{Complex Aerosol Nanostructures: Revealing the Phases from Multivariate Analysis on Elemental Maps Obtained by TEM-EDX}},
  year         = {{2020}},
}