General method of specimen preparation for the quantitative microscopic characterization of nano- and microparticles
- 1. Ernst-Berl-Institut, Technische Universität Darmstadt, Alarich-Weiss-Straße 8, 64287 Darmstadt (Germany)
- 2. Merck KGaA, Frankfurter Straße 250, 64293 Darmstadt (Germany)
Description
Highlights: • Aggregated magnetic nanoparticles are broken down to its constituent particles and fixed on a sample carrier for microscopy. • Quantitative analysis of particle systems with computer-assisted image analysis of microscopic images is achieved. • Nanoparticle impurities in microparticle samples could be revealed. • Primary particle distributions based on a mathematical model are calculated. -- Abstract: Nano-materials are a subject of current research and development due to their special characteristics, based on the size of their constituent particles. A major hurdle is the reliable analysis of the particle size and particle size distribution. This article introduces a new method of specimen preparation for the quantitative analysis of particle systems. Selected examples show the capabilities of computer-assisted image analysis of microscopic images. The problem of agglomeration and aggregation of primary particles is discussed and a strategy for calculating the primary particle distribution based on a mathematical model is presented. The successful, highly controlled deposition of deagglomerated nanoparticles on a microscope carrier enables a reliable particle size distribution measurement, even with strong interacting nanoparticles.
Additional details
Identifiers
- DOI
- 10.1016/j.matchar.2019.04.043;
- PII
- S1044580317333119;
Publishing Information
- Journal Title
- Materials Characterization
- Journal Volume
- 153
- Journal Page Range
- p. 60-68
- ISSN
- 1044-5803
- CODEN
- MACHEX
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55030932
- Subject category
- S36: MATERIALS SCIENCE;
- Descriptors DEI
- AGGLOMERATION; IMAGE PROCESSING; MATHEMATICAL MODELS; MICROSCOPES; MICROSCOPY; NANOMATERIALS; NANOPARTICLES; PARTICLE SIZE
- Descriptors DEC
- MATERIALS; PARTICLES; PROCESSING; SIZE
Optional Information
- Copyright
- Copyright (c) 2019 Elsevier Inc. All rights reserved.