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Numerical study of in situ preconcentration for rapid and sensitive nanoparticle detection

Source: Biomicrofluidics 4, 034106 (2010); doi:10.1063/1.3467446

Published 12 August 2010

KEYWORDS and PACS
Keywords
PACS
  • 87.80.-y
    Biophysical techniques (research methods)
  • 87.85.gf
    Fluid mechanics and rheology (biomechanics in biomedical engineering)
  • 87.80.Kc
    Electrochemical techniques (biophysical research methods)
  • 82.80.Fk
    Electrochemical analytical methods
  • YEAR: 2010
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PUBLICATION DATA
ISSN:
1553-9628 (online)
Publisher:
AIP is a member of CrossRef AIP
Kai Yang and Jie Wu
Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, Tennessee 37996, USA
This paper presents a numerical study of a preconcentrator design that can effectively increase the binding rate at the sensor in a real time manner. The particle enrichment is realized by the ac electrothermal (ACET) effect, which induces fluid movement to carry nanoparticles toward the sensor. The ACET is the only electrical method to manipulate a biological sample of medium to high ionic strength (>0.1  S/m, e.g., 0.06× phosphate buffered saline). The preconcentrator consists of a pair of electrodes striding over the sensor, simple to implement as it is electrically controlled. This preconcentrator design is compatible and can be readily integrated with many types of micro- to nanosensors. By applying an ac signal over the electrodes, local vortices will generate a large velocity perpendicular to the reaction surface, which enhances transport of analytes toward the sensor. Our simulation shows that the binding rate at the sensor surface is greatly enhanced. Our study also shows that the collection of analytes will be affected by various parameters such as channel height, inlet velocity, and sensor size, and our results will provide guidance in optimization of the preconcentrator design. ©2010 American Institute of Physics
History: Received 6 April 2010; accepted 1 July 2010; published 12 August 2010
Permalink: http://link.aip.org/link/?BIOMGB/4/34106/1

REFERENCES (17)

  1. Z. Li, Y. Chen, X. Li, T. I. Kamins, K. Nauka, and R. S. Williams, Nano Lett. 4, 245 (2004).
  2. P. E. Sheehan and L. J. Whitman, Nano Lett. 5, 803 (2005). [MEDLINE]
  3. D. R. Kim and X. L. Zheng, Nano Lett. 8, 3233 (2008). [MEDLINE]
  4. T. M. Squires, R. J. Messinger, and S. R. Manalis, Nat. Biotechnol. 26, 417 (2008). [MEDLINE]
  5. M. Lian, N. Islam, and J. Wu, IET Nanobiotechnol. 1, 36 (2007). [MEDLINE]
  6. H. C. Feldman, M. Sigurdson, and C. D. Meinhart, Lab Chip 7, 1553 (2007). [Inspec] [MEDLINE]
  7. M. Sigurdson, D. Wang, and C. D. Meinhart, Lab Chip 5, 1366 (2005). [MEDLINE]
  8. K. R. Huang, J. S. Chang, S. D. Chao, K. C. Wu, C. K. Yang, C. Y. Lai, and S. H. Chen, J. Appl. Phys. 104, 064702 (2008).
  9. K. Yang and J. Wu, ASME Second Micro/Nanoscale Heat and Mass Transfer Int'l Conf., Dec. 18–21, 2009.
  10. K. F. Hoettges, M. B. McDonnel, and M. P. Hughes, J. Phys. D: Appl. Phys. 36, L101 (2003).
  11. J. Wu, N. Islam, and M. Lian, 19th IEEE International Conference on Micro Electro Mechanical Systems (MEMS) 2006, January 22–26, 2006, pp. 566–569, Istanbul, Turkey.
  12. P. K. Wong, C. Y. Chen, T. H. Wang, and C. M. Ho, Anal. Chem. 76, 6908 (2004). [MEDLINE]
  13. K. H. Bhatt, S. Grego, and O. D. Velev, Langmuir 21, 6603 (2005). [MEDLINE]
  14. N. Islam, M. Lian, and J. Wu, Microfluid. Nanofluid. 3, 369 (2007).
  15. T. Gervais and K. F. Jensen, Chem. Eng. Sci. 61, 1102 (2006).
  16. D. A. Edwards, B. Goldstein, and D. S. Cohen, J. Math. Biol. 39, 533 (1999). [ISI] [MEDLINE]
  17. K. Pappaert, P. Van Hummelen, J. Vanderhoeven, G. V. Baron, and G. Desmet, Chem. Eng. Sci. 58, 4921 (2003). [ISI]
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