Movatterモバイル変換


[0]ホーム

URL:


Skip to main content

Advertisement

Springer Nature Link
Log in

Flows in micro fluidic networks: From theory to experiment

  • Published:
Natural Computing Aims and scope Submit manuscript

Abstract

When complex flow structures are designed, such as in DNA computing, it is essential to be able to predict the flow pattern of the solutions in the fluidic network. A model based on the resistance of the channels and flow velocities of the inlets can eliminated re-iterative design steps. We have constructed a symbolic model using Mathematica ® to determine the desired flow pattern based on the equations of Ohm and Kirchoff. The values from this simulation were used in a flow simulation program and then tested in a microflow network. Results show that the simulation and calculation match very well, while the experiments in the fluidic network show a flow pattern as predicted by the model.

This is a preview of subscription content,log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Bardell LR and Forster FK (1998) Impedances for design of microfluidic systems. In: Proc. of the Micro-TAS ’98 Workshop, Banff, Canada, 13–16 October 1998, http://lettuce.me.washington.edu /micropump/puplication/1998utas98wE.htm

  • Bardell LR, Sharma NR, Forster FK, Afromowitz MA, Penney RJ (1997) Designing high-performance micro-pumps based on non-moving parts. Microelectromechanical Systems (MEMS) ASME 1997, DSC-Vol 62/HTD-Vol. 354, pp. 47–53

  • Bochman A (1996) Diploma Thesis. Univ. Jena

  • RS Braich N Chelyapov C Johnson PWK Rothemund L Adleman (2002)ArticleTitleSolution of a 20-variable 3-SAT problem on a DNA computerScience296 499–502

    Google Scholar 

  • A Gehani J Reif (1999)ArticleTitleMicro flow bio-molecular computationBiosystems52 197–216

    Google Scholar 

  • J Happel H Brenner (1983) Low Reynolds Number Hydrodynamics. Martinus Nijhof Publishers the Hague

    Google Scholar 

  • JS McCaskill (2001)ArticleTitleOptically programming DNA computing in microflow reactorsBiosystems59 125–138

    Google Scholar 

  • Pun P, Rozenberg G and Salomaa A (1998) DNA Computing: New Computing Paradigms. Springer Verlag, Heidelberg, Germany. ISBN 3-540-64196-3

  • Schmidt K, Foerster P, Bochmann A and McCaskill JS (1997) A microflow reactor for two dimensional investigations of in vitro amplification systems. In: 1st International Conference on Microreaction Technology, Book of abstracts, Dechema e.V., Frankfurt am Main

  • van Noort D (2004) A programmable molecular computer in microreactors. In: Preliminary Proceedings, Tenth International Meeting on DNA Based Computers, June 7–10, Italy

  • van Noort D and Landweber LFL (2004) Towards a re-programmable DNA computer. J. Nat. Comput. (accepted for publication)

  • D NoortParticlevan F-U Gast JS McCaskill (2002a)ArticleTitleDNA computing in microreactorsLNCS2340 33–45

    Google Scholar 

  • D NoortParticlevan P Wagler JS McCaskill (2002b)ArticleTitleThe role of microreactors in molecular computingSmart Mater. Struct.11 756–760

    Google Scholar 

  • P.Wagler,Gohlke M.,van Noort D.,McCaskill JS.,2001Three-dimensional microfluidic systems for computation with DNA molecules,In: 12th Micromechanics Europe Workshop MME 2001, Proceedings Cork, Ireland

Download references

Author information

Author notes
  1. Danny Van Noort

    Present address: School of Computer Science and Engineering Seoul National University, San 56-1, Sinlim-dong, Seoul, 151-742, Korea

Authors and Affiliations

  1. Department of Ecology and Evolutionary Biology, Guyot Hall, Princeton University, Princeton, 08544, NJ, USA

    Danny Van Noort

  2. Biomolecular Information Processing, Ruhr-Universität Bochum c/o Fraunhofer Institutszentrum Schloss Birlinghoven, D-53754, Sankt Augustin, Germany

    John S. Mccaskill

Authors
  1. Danny Van Noort

    You can also search for this author inPubMed Google Scholar

  2. John S. Mccaskill

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence toDanny Van Noort.

Rights and permissions

About this article

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Advertisement


[8]ページ先頭

©2009-2025 Movatter.jp