Literature DB >> 18069861

Drop mixing in a microchannel for lab-on-a-chip platforms.

Minsoung Rhee1, Mark A Burns.   

Abstract

We present theory, simulations, and experiments for discrete drop mixing in microchannels. The drops are placed sequentially in a channel and then moved at a set velocity to achieve mixing. The mixing occurs in three different regimes (diffusion-dominated, dispersion-dominated, and convection-dominated) depending on the Péclet number (Pe) and the drop dimensions. Introducing the modified Péclet number (Pe*), we show asymptotic curves that can be used to predict the mixing time and the required distance for mixing for any of the three regimes. Simulations of the mixing experiments using COMSOL agree with the theoretical limits. In our experimental work, we used a polydimethylsiloxane (PDMS) microchannel with a membrane air bypass valve to remove the air between drops. This approach enables precise control of the mixing and merging site. Experimental, simulation, and theoretical results all agree and show that mixing can occur in fractions of a second to hours, depending on the parameters used.

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Mesh:

Year:  2007        PMID: 18069861     DOI: 10.1021/la702575j

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  13 in total

1.  Versatile on-demand droplet generation for controlled encapsulation.

Authors:  Minsoung Rhee; Peng Liu; Robert J Meagher; Yooli K Light; Anup K Singh
Journal:  Biomicrofluidics       Date:  2014-06-12       Impact factor: 2.800

2.  Computational investigations of the mixing performance inside liquid slugs generated by a microfluidic T-junction.

Authors:  Yuehao Li; Rupesh K Reddy; Challa S S R Kumar; Krishnaswamy Nandakumar
Journal:  Biomicrofluidics       Date:  2014-10-30       Impact factor: 2.800

3.  Multiphase bioreaction microsystem with automated on-chip droplet operation.

Authors:  Fang Wang; Mark A Burns
Journal:  Lab Chip       Date:  2010-03-05       Impact factor: 6.799

4.  On-demand generation and mixing of liquid-in-gas slugs with digitally-programmable composition and size.

Authors:  Yi-Chun Chen; Kan Liu; Clifton Kwang-Fu Shen; R Michael van Dam
Journal:  J Micromech Microeng       Date:  2015-07-22       Impact factor: 1.881

5.  Pressure stabilizer for reproducible picoinjection in droplet microfluidic systems.

Authors:  Minsoung Rhee; Yooli K Light; Suzan Yilmaz; Paul D Adams; Deepak Saxena; Robert J Meagher; Anup K Singh
Journal:  Lab Chip       Date:  2014-10-01       Impact factor: 6.799

6.  Droplet-based microsystem for multi-step bioreactions.

Authors:  Fang Wang; Mark A Burns
Journal:  Biomed Microdevices       Date:  2010-06       Impact factor: 2.838

7.  Microfluidic device for robust generation of two-component liquid-in-air slugs with individually controlled composition.

Authors:  Kan Liu; Yi-Chun Chen; Hsian-Rong Tseng; Clifton Kwang-Fu Shen; R Michael van Dam
Journal:  Microfluid Nanofluidics       Date:  2010-04-22       Impact factor: 2.529

8.  A digital microfluidic droplet generator produces self-assembled supramolecular nanoparticles for targeted cell imaging.

Authors:  Kan Liu; Hao Wang; Kuan-Ju Chen; Feng Guo; Wei-Yu Lin; Yi-Chun Chen; Duy Linh Phung; Hsian-Rong Tseng; Clifton K-F Shen
Journal:  Nanotechnology       Date:  2010-10-08       Impact factor: 3.874

9.  Sampling and electrophoretic analysis of segmented flow streams using virtual walls in a microfluidic device.

Authors:  Gregory T Roman; Meng Wang; Kristin N Shultz; Colin Jennings; Robert T Kennedy
Journal:  Anal Chem       Date:  2008-10-03       Impact factor: 6.986

10.  Controlled dispensing and mixing of pico- to nanoliter volumes using on-demand droplet-based microfluidics.

Authors:  Xuefei Sun; Keqi Tang; Richard D Smith; Ryan T Kelly
Journal:  Microfluid Nanofluidics       Date:  2013-07-01       Impact factor: 2.529

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