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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Main Authors: Uwe Frank, Maximillian J. Uttinger, Simon E. Wawra, Christian Lübbert, Wolfgang Peukert
Format: Article
Language:English
Published: Hosokawa Powder Technology Foundation 2021-03-01
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.
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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
work_keys_str_mv AT uwefrank progressinmultidimensionalparticlecharacterization
AT maximillianjuttinger progressinmultidimensionalparticlecharacterization
AT simonewawra progressinmultidimensionalparticlecharacterization
AT christianlubbert progressinmultidimensionalparticlecharacterization
AT wolfgangpeukert progressinmultidimensionalparticlecharacterization