Progress in Multidimensional Particle Characterization
The properties of particle ensembles are defined by a complex multidimensional parameter space, namely particle size, shape, surface, structure, composition and their distributions. Macroscopic product properties are a direct result of these disperse particle properties. Therefore, the comprehensive...
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Format: | Article |
Language: | English |
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Hosokawa Powder Technology Foundation
2021-03-01
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Series: | KONA Powder and Particle Journal |
Subjects: | |
Online Access: | https://www.jstage.jst.go.jp/article/kona/39/0/39_2022005/_html/-char/en |
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author | Uwe Frank Maximillian J. Uttinger Simon E. Wawra Christian Lübbert Wolfgang Peukert |
author_facet | Uwe Frank Maximillian J. Uttinger Simon E. Wawra Christian Lübbert Wolfgang Peukert |
author_sort | Uwe Frank |
collection | DOAJ |
description | The properties of particle ensembles are defined by a complex multidimensional parameter space, namely particle size, shape, surface, structure, composition and their distributions. Macroscopic product properties are a direct result of these disperse particle properties. Therefore, the comprehensive multidimensional characterization of particle ensembles is a key task in any product design. However, the determination of complex property distributions is major challenge. We provide a broad overview of the current tools for multidimensional particle characterization. First, the mathematical handling of multidimensional (nD) property distribution is outlined as a necessary framework for the correct handling of nD particle size distributions (PSDs). Then, well-established techniques as well as recent developments with the potential to extract nD property distributions are reviewed. Ex situ imaging techniques like electron tomography or Raman spectroscopy with AFM co-localization, for instance, provide a resolution on the level of single particles but are limited in terms of sample statistics. A particular focus lies therefore on methods in the gas and the liquid phase, which provide multidimensional particle properties either directly or by a combination of one-dimensional techniques. |
first_indexed | 2024-12-20T19:11:57Z |
format | Article |
id | doaj.art-adde2b12dcd844e38a993519c51b5705 |
institution | Directory Open Access Journal |
issn | 0288-4534 2187-5537 |
language | English |
last_indexed | 2024-12-20T19:11:57Z |
publishDate | 2021-03-01 |
publisher | Hosokawa Powder Technology Foundation |
record_format | Article |
series | KONA Powder and Particle Journal |
spelling | doaj.art-adde2b12dcd844e38a993519c51b57052022-12-21T19:29:11ZengHosokawa Powder Technology FoundationKONA Powder and Particle Journal0288-45342187-55372021-03-0139032810.14356/kona.2022005konaProgress in Multidimensional Particle CharacterizationUwe Frank0Maximillian J. Uttinger1Simon E. Wawra2Christian Lübbert3Wolfgang Peukert4Institute of Particle Technology (LFG), Friedrich Alexander Universität Erlangen-Nürnberg, GermanyInstitute of Particle Technology (LFG), Friedrich Alexander Universität Erlangen-Nürnberg, GermanyInstitute of Particle Technology (LFG), Friedrich Alexander Universität Erlangen-Nürnberg, GermanyInstitute of Particle Technology (LFG), Friedrich Alexander Universität Erlangen-Nürnberg, GermanyInstitute of Particle Technology (LFG), Friedrich Alexander Universität Erlangen-Nürnberg, GermanyThe properties of particle ensembles are defined by a complex multidimensional parameter space, namely particle size, shape, surface, structure, composition and their distributions. Macroscopic product properties are a direct result of these disperse particle properties. Therefore, the comprehensive multidimensional characterization of particle ensembles is a key task in any product design. However, the determination of complex property distributions is major challenge. We provide a broad overview of the current tools for multidimensional particle characterization. First, the mathematical handling of multidimensional (nD) property distribution is outlined as a necessary framework for the correct handling of nD particle size distributions (PSDs). Then, well-established techniques as well as recent developments with the potential to extract nD property distributions are reviewed. Ex situ imaging techniques like electron tomography or Raman spectroscopy with AFM co-localization, for instance, provide a resolution on the level of single particles but are limited in terms of sample statistics. A particular focus lies therefore on methods in the gas and the liquid phase, which provide multidimensional particle properties either directly or by a combination of one-dimensional techniques.https://www.jstage.jst.go.jp/article/kona/39/0/39_2022005/_html/-char/enparticle characterizationmultidimensional measurementnanoparticlesparticle technologyparticle propertiesparticle property distribution |
spellingShingle | Uwe Frank Maximillian J. Uttinger Simon E. Wawra Christian Lübbert Wolfgang Peukert Progress in Multidimensional Particle Characterization KONA Powder and Particle Journal particle characterization multidimensional measurement nanoparticles particle technology particle properties particle property distribution |
title | Progress in Multidimensional Particle Characterization |
title_full | Progress in Multidimensional Particle Characterization |
title_fullStr | Progress in Multidimensional Particle Characterization |
title_full_unstemmed | Progress in Multidimensional Particle Characterization |
title_short | Progress in Multidimensional Particle Characterization |
title_sort | progress in multidimensional particle characterization |
topic | particle characterization multidimensional measurement nanoparticles particle technology particle properties particle property distribution |
url | https://www.jstage.jst.go.jp/article/kona/39/0/39_2022005/_html/-char/en |
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