Biomedical Microdevices

, Volume 12, Issue 2, pp 297–309 | Cite as

2-layer based microfluidic concentration generator by hybrid serial and volumetric dilutions

  • Kangsun Lee
  • Choong Kim
  • Youngeun Kim
  • Keunhui Jung
  • Byungwook Ahn
  • Ji Yoon Kang
  • Kwang W. OhEmail author


We present a 2-layer based microfluidic concentration generator by a hybrid of a serial and a volumetric dilution for dose-response experiments in drug screening. The hybrid dilution method using 2-layer based microfluidic network significantly reduces the total number of cascaded serial dilution stages. The proposed strategy is capable of generating a large number of universal stepwise monotonic concentrations with a wide range of logarithmic and linear scales. We have studied an equivalent electrical circuit to that of the 2-layer based microfluidic network, where the only variable parameter is channel length. We have designed a microfluidic dilution generator simultaneously covering 14 doses with a combination of 4-order logarithmic and 4-point linear concentrations. The design has been verified by a commercial circuit analysis software (e.g., P-Spice) for the electrical circuit analysis and a computational fluid dynamics software (e.g., CFD-ACE+) for the microfluidic circuit analysis. As a real-life application of the proposed dilution generator, we have successfully performed a dose-response experiment using MCF-7 human breast cancer cells. We expect that the proposed dilution method will be useful to study not only high throughput drug screening but also optimization in biology, chemistry, medicine, and material sciences.


Serial dilution Volumetric dilution Drug screening Microfluidic network 



This work was supported in part by the National Science Foundation under ECCS/EPDT program (contract #0736501) and the NYSTAR Faculty Development program. This research was supported in part by the Intelligent Microsystem Center, which is carrying out one of the 21st Century’s Frontier R&D Projects sponsored by the Korea Ministry of Commerce, Industry and Energy.


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Kangsun Lee
    • 1
  • Choong Kim
    • 2
  • Youngeun Kim
    • 2
  • Keunhui Jung
    • 2
  • Byungwook Ahn
    • 1
  • Ji Yoon Kang
    • 2
  • Kwang W. Oh
    • 1
    Email author
  1. 1.SMALL (nanobio Sensors and MicroActuators Learning Laboratory), Department of Electrical Engineering, University at BuffaloThe State University of New York (SUNY at Buffalo)BuffaloUSA
  2. 2.Nano-Bioresearch CenterKorea Institute of Science and Technology (KIST)Songbuk GuSouth Korea

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