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Microfluidic network-based combinatorial dilution device for high throughput screening and optimization

  • Kangsun Lee
  • , Choong Kim
  • , Geunhui Jung
  • , Tae Song Kim
  • , Ji Yoon Kang
  • , Kwang W. Oh
  • SUNY Buffalo
  • Korea Institute of Science and Technology

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

We present a combinatorial dilution device using a three-layer microfluidic network that can produce systematic variations of buffer and additive solutions in a combinatorial fashion for high throughput screening and optimization. A proof-of-concept device providing seven combinations (ABC/D, AB/D, BC/D, AC/D, A/D, B/D, and C/D) of three additive samples (A, B, and C) into a buffer solution (D) has been demonstrated. Such combinations are often used in simplex-centroid mixture DOE (design of experiments), useful techniques to minimize the experimental efforts at maximal information output with systematic variations of large-scale components. Based on mathematical and electrical modeling and computational fluid dynamic simulation, the device has been designed, fabricated, and characterized.

Original languageEnglish
Pages (from-to)677-685
Number of pages9
JournalMicrofluidics and Nanofluidics
Volume8
Issue number5
DOIs
StatePublished - May 2010

Keywords

  • Combinatorial device
  • Design of experiments
  • High throughput screening
  • Microfluidic network

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