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Dispersion Control in Nano-Channel Systems Using a Genetic Algorithm

Published online by Cambridge University Press:  05 May 2011

R. Kamali  and
S. Movahed
R. Kamali*
Affiliation:
Department of Mechanical Engineering, Shiraz University, Shiraz, Iran
S. Movahed*
Affiliation:
Department of Mechanical Engineering, Shiraz University, Shiraz, Iran
*
* Assistant Professor
** M.Sc. student
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Abstract

There has been a growing interest in developing the miniaturized fluidic devices for transportation, separation and detection of bio-samples. In many of these phenomena electrokinetic effects play an important role. Studies show that in fabricating these devices, if long channels are used, separation efficiency can be improved. In these devices, turns must be induced to integrate a long channel within the small area of a single chip. But these turns can cause a serious dispersion that can result in degraded separation quality. The present study shows that the dispersion in the channel can be reduced by using an optimized distribution for ζ-potential near the turns. A computer code based on the genetic algorithm has been developed to study the dispersion in L-shape and U-shape turns.

Keywords

Electro-osmosisNano channelsDispersionGenetic algorithm
Type
Articles
Information
Journal of Mechanics , Volume 24 , Issue 4 , December 2008 , pp. 429 - 435
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2008

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References

1.Heriuchi, K. and Dutta, P., “Electrokinetic Flow Control in Microfluidic Chips Using a Field-Effect Transistor,” Lab on a Chip, 11 May (2006).CrossRefGoogle Scholar
2.Sharp, K. V., Adrian, R. J., Santiago, J. G. and Molho, J. I., Mems Handbook, Ch.6, Liquid Flows in Microchannels, CRC Press LLC (2002).CrossRefGoogle Scholar
3.Li, Z.-H., Lin, J.-Z. and Nie, D.-M., “New Approaches to Minimized Dispersion Induced by Turn in Capillary Electrophoresis Channel Flows,” Applied Mathematics and Mechanics (2005).Google Scholar
4.Mitchell, M. J., Qiao, R. and Aluru, N. R., “Meshless Analysis of Steady-State Electro-Osmotic Transport,” Microelectromechanical Systems, 9 (2000).CrossRefGoogle Scholar
5.Haupt, R. L. and Haupt, S. E., Practical Genetic Algorithm, John Wiely and Sons (2004).Google Scholar
6.Qiao, R. and Aluru, N. R., “Dispersion Control in Nano-Channel Systems by Localized ζ-Potential Variations,” Sensors and Actuators, 104, pp. 268–274 (2003).CrossRefGoogle Scholar
7.Griffiths, S. K. and Nilson, R. H., “Low Dispersion Turns and Junctions for Micro-Channel Systems,” Annual Chemistry, 73, pp. 272–278 (2001).CrossRefGoogle Scholar
8.Karnidakis, G., Beskok, A. and Aluru, N., Microflows and Nanoflows, Fundamentals and Simulations, Springer (2004).Google Scholar