Progress in Multidimensional Particle Characterization

KONA Powder and Particle Journal

Uwe Frank¹  Christian Lübbert¹  Maximillian J. Uttinger¹  Wolfgang Peukert¹  Simon E. Wawra¹ 

[1] Institute of Particle Technology (LFG), Friedrich Alexander Universität Erlangen-Nürnberg, Germany;

关键词: particle characterization;    multidimensional measurement;    nanoparticles;    particle technology;    particle properties;    particle property distribution;   

DOI  :  10.14356/kona.2022005

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown