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Journal of Nanomaterials
Volume 2014 (2014), Article ID 643967, 6 pages
Research Article

Synthesis of Fe Nanoparticles Functionalized with Oleic Acid Synthesized by Inert Gas Condensation

1Facultad de Ciencias Físico-Matemáticas, Universidad Autónoma de Nuevo León, 66451 San Nicolás de los Garza, NL, Mexico
2Hybrid Materials Laboratory (HML), Department of Materials Engineering (DIMAT), Faculty of Engineering, University of Concepcion, 270 EdmundoLarenas, Casilla 160-C, 4070409 Concepcion, Chile
3Centro de Investigación en Materiales Avanzados S. C., Unidad Monterrey-PIIT, 66600 Apodaca, NL, Mexico
4Instituto de Ciencia y Tecnología de Materiales (IMRE), Universidad de La Habana, Zapata y G, Vedado, CP 10400 La Habana, Cuba

Received 17 March 2014; Revised 30 July 2014; Accepted 30 July 2014; Published 18 September 2014

Academic Editor: Renyun Zhang

Copyright © 2014 L. G. Silva et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In this work, we study the synthesis of monodispersed Fe nanoparticles (Fe-NPs) in situ functionalized with oleic acid. The nanoparticles were self-assembled by inert gas condensation (IGC) technique by using magnetron-sputtering process. Structural characterization of Fe-NPs was performed by transmission electron microscopy (TEM). Particle size control was carried out through the following parameters: (i) condensation zone length, (ii) magnetron power, and (iii) gas flow (Ar and He). Typically the nanoparticles generated by IGC showed diameters which ranged from ~0.7 to 20 nm. Mass spectroscopy of Fe-NPs in the deposition system allowed the study of in situ nanoparticle formation, through a quadrupole mass filter (QMF) that one can use together with a mass filter. When the deposition system works without quadrupole mass filter, the particle diameter distribution is around +/−20%. When the quadrupole is in line, then the distribution can be reduced to around +/−2%.