Guided fluidic self-assembly of microtrains using railed microfluidics

Su Eun Chung, Wook Park, Sunghwan Shin, Seung Ah Lee, Sunghoon Kwon

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In this article, we introduce 'railed microfluidics,' as an agile method to guide and assemble microstructures inside fluidic channels. The guided movement of microstructures in microfluidic channels was done by fabricating grooves ("rails") on the top surface of the channels and also creating complementary polymeric microstructures that fit with the grooves. Using the rails as guiding mechanism for the microstructures, we built complex 1D and 2D microsystems without wasting a single microstructure. Complex structures composed of more than 50 microstructures (each sized smaller than 50 μm) were fluidically selfassembled with zero error. Furthermore, we were able to use the rails to guide microstructures through different fluid solutions, successfully overcoming strong interfacial tension between solutions. This process allows for efficient and practical heterogeneous complex assembly. We envision that railed microfluidics will add vital flexibility in microfluidic design and guided selfassembly.

Original languageEnglish
Pages274-285
Number of pages12
Publication statusPublished - 2008 Dec 1
Event5th Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2008 - Snowbird, UT, United States
Duration: 2008 Apr 222008 Apr 25

Other

Other5th Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2008
CountryUnited States
CitySnowbird, UT
Period08/4/2208/4/25

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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  • Cite this

    Chung, S. E., Park, W., Shin, S., Lee, S. A., & Kwon, S. (2008). Guided fluidic self-assembly of microtrains using railed microfluidics. 274-285. Paper presented at 5th Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2008, Snowbird, UT, United States.