Published July 2019 | Version v1
Journal article

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.