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Chemical composition dispersion in bi-metallic nanoparticles: semi-automated analysis using HAADF-STEM

Authors
  • Epicier, T.1
  • Sato, K.2
  • Tournus, F.3
  • Konno, T.2
  • 1 INSA-Lyon, MATEIS CNRS UMR5510, Bat. Blaise Pascal, Villeurbanne Cedex, 69621, France , Villeurbanne Cedex (France)
  • 2 Institute for Materials Research, Tohoku University, Material Processing and Characterization Division, 2-1-1 Katahira, Sendai, 980-8577, Japan , Sendai (Japan)
  • 3 Université Lyon 1, LPMCN, UMR 5586 CNRS & Université de Lyon, Villeurbanne Cedex, 69622, France , Villeurbanne Cedex (France)
Type
Published Article
Journal
Journal of Nanoparticle Research
Publisher
Springer-Verlag
Publication Date
Aug 18, 2012
Volume
14
Issue
9
Identifiers
DOI: 10.1007/s11051-012-1106-z
Source
Springer Nature
Keywords
License
Yellow

Abstract

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.

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