Distribution of Iron Nanoparticles in Arrays of Vertically Aligned Carbon Nanotubes Grown by Chemical Vapor Deposition

Alexander V. Okotrub (Corresponding Author), Dmitriy V. Gorodetskiy, Artem V. Guselnikov, Anastasiya M. Kondranova, Lyubov G. Bulusheva, Mariya Korabovska, Raimonds Meija, Donats Erts (Corresponding Author)

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
10 Downloads (Pure)

Abstract

Arrays of aligned carbon nanotubes (CNTs) are anisotropic nanomaterials possessing a high length-to-diameter aspect ratio, channels passing through the array, and mechanical strength along with flexibility. The arrays are produced in one step using aerosol-assisted catalytic chemical vapor deposition (CCVD), where a mixture of carbon and metal sources is fed into the hot zone of the reactor. Metal nanoparticles catalyze the growth of CNTs and, during synthesis, are partially captured into the internal cavity of CNTs. In this work, we considered various stages of multi-walled CNT (MWCNT) growth on silicon substrates from a ferrocene–toluene mixture and estimated the amount of iron in the array. The study showed that although the mixture of precursors supplies evenly to the reactor, the iron content in the upper part of the array is lower and increases toward the substrate. The size of carbon-encapsulated iron-based nanoparticles is 20–30 nm, and, according to X-ray diffraction data, most of them are iron carbide Fe3C. The reasons for the gradient distribution of iron nanoparticles in MWCNT arrays were considered, and the possibilities of controlling their distribution were evaluated.

Original languageEnglish
Article number6639
JournalMaterials
Volume15
Issue number19
DOIs
Publication statusPublished - Oct 2022
Externally publishedYes

Keywords*

  • catalytic chemical vapor deposition
  • EDX analysis
  • iron nanoparticles
  • vertically aligned carbon nanotube arrays

Field of Science*

  • 1.3 Physical sciences
  • 1.4 Chemical sciences
  • 2.5 Materials engineering

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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