Chemical composition dispersion in bi-metallic nanoparticles: Semi-automated analysis using HAADF-STEM
Résumé
We present a method using high-angle annular dark field scanning transmission electron microscopy (HAADF-STEM) to determine the chemical composition of bi-metallic nanoparticles. This method, which can be applied in a semi-automated way, allows large scale analysis with a statistical number of particles (several hundreds) in a short time. Once a calibration curve has been obtained, e.g., using energy-dispersive X-ray spectroscopy (EDX) measurements on a few particles, the HAADF integrated intensity of each particle can indeed be directly related to its chemical composition. After a theoretical description, this approach is applied to the case of iron-palladium nanoparticles (expected to be nearly stoichiometric) with a mean size of 8.3 nm. It will be shown that an accurate chemical composition histogram is obtained, i.e., the Fe content has been determined to be 49.0 at.% with a dispersion of 10.4 %. HAADF-STEM analysis represents a powerful alternative to fastidious single particle EDX measurements, for the compositional dispersion in alloy nanoparticles. © Springer Science+Business Media B.V. 2012.
Mots clés
Alloy nanoparticle
Bimetallic nanoparticles
Calibration curves
Chemical compositions
Energy dispersive x-ray spectroscopy
Fe content
HAADF-STEM
High-angle annular dark fields
Integrated intensities
Iron-palladium
Large-scale analysis
Mean size
Scanning tem
Semi-automated
Semi-automated analysis
Single particle
Statistical numbers
STEM-HAADF
Dispersions
Energy dispersive spectroscopy
Transmission electron microscopy
Nanoparticles
iron
nanoparticle
palladium
article
calibration
chemical composition
dispersion
high angle annular dark field scanning transmission electron microscopy
histogram
particle size
priority journal
scanning transmission electron microscopy