Complex Aerosol Nanostructures: Revealing the Phases from Multivariate Analysis on Elemental Maps Obtained by TEM-EDX
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/644c4700-f1a6-4549-93b7-3f9a9f586122
- author
- Deppert, Knut LU ; Snellman, Markus LU ; Ek, Martin LU and Persson, Axel LU
- organization
- publishing date
- 2020-09-01
- 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}}, }