Dielectrophoretic separation of carbon nanotubes and polystyrene microparticles

Zhang, C., Khoshmanesh, K., Tovar-Lopez, F. J., Mitchell, A., Wlodarski, W. and Kalantar-Zadeh, K. 2009, Dielectrophoretic separation of carbon nanotubes and polystyrene microparticles, Microfluidics and nanofluidics, vol. 7, no. 5, pp. 633-645, doi: 10.1007/s10404-009-0419-4.

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Title Dielectrophoretic separation of carbon nanotubes and polystyrene microparticles
Author(s) Zhang, C.
Khoshmanesh, K.
Tovar-Lopez, F. J.
Mitchell, A.
Wlodarski, W.
Kalantar-Zadeh, K.
Journal name Microfluidics and nanofluidics
Volume number 7
Issue number 5
Start page 633
End page 645
Publisher Springer
Place of publication Heidelberg, Germany
Publication date 2009-11
ISSN 1613-4982
Keyword(s) dielectrophoresis
particle separation
carbon nanotube
polystyrene microparticle
Summary The separation of multi-walled carbon nanotubes (MWCNTs) and polystyrene microparticles using a dielectrophoresis (DEP) system is presented. The DEP system consists of arrays of parallel microelectrodes patterned on a glass substrate. The performance of the system is evaluated by means of numerical simulations. The MWCNTs demonstrate a positive DEP behaviour and can be trapped at the regions of high electric field. However, the polystyrene microparticles demonstrate a negative DEP behaviour at a certain range of frequencies and migrate to the regions of low electric field. Experiments are performed on the microparticles at the frequencies between 100 Hz and 1 MHz to estimate their crossover frequency and select the range of separation frequencies. Further, experiments are conducted at the obtained range of separation frequencies to separate the MWCNTs and polystyrene microparticles.
Language eng
DOI 10.1007/s10404-009-0419-4
Field of Research 091306 Microelectromechanical Systems (MEMS)
Socio Economic Objective 861503 Scientific Instruments
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2009
Copyright notice ©2009, Springer-Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30029164

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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