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Formation of Droplets and Mixing in Multiphase Microfluidics at Low Values of the Reynolds and the Capillary Numbers

Tice, Joshua D., Song, Helen, Lyon, Adam D., Ismagilov, Rustem F.·2003·Langmuir

Abstract

This paper reports an experimental characterization of a simple method for rapid formation of droplets, or plugs, of multiple aqueous reagents without bringing reagents into contact prior to mixing. Droplet-based microfluidics offers a simple method of achieving rapid mixing and transport with no dispersion. In addition, this paper shows that organic dyes at high concentrations should not be used for the visualization of flow patterns and mixing of aqueous plugs in multiphase flows in this system (fluorinated carrier fluid and PDMS microchannels). It reports an inorganic dye that can be used instead. This work focuses on mixing in plugs moving through straight channels. It demonstrates that, when traveling through straight microchannels, mixing within plugs by steady recirculating flow is highly sensitive to the initial distribution of the aqueous reagents established by the eddy flow at the tip of the forming plug (twirling). The results also show how plugs with proper distribution of the aqueous reagents could be formed in order to achieve optimal mixing of the reagents in this system.

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Metadata

Authors
Tice, J. D., Song, H., Lyon, A. D., & Ismagilov, R. F.
Venue
Langmuir
Published
2003-08-12
Volume
19
Issue
22
Pages
9127-9133
ISSN
  • 0743-7463 (ISSN-L)
  • 1520-5827
OpenAlex
W1975330940
Cited by
722
References
0
FWCI
19.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Formation of Droplets and Mixing in Multiphase Microfluidics at Low Values of the Reynolds and the Capillary Numbers. https://app.cochat.ai/papers/10.1021/la030090w
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Tice, J. D., Song, H., Lyon, A. D., & Ismagilov, R. F. (2003). Formation of Droplets and Mixing in Multiphase Microfluidics at Low Values of the Reynolds and the Capillary Numbers. Langmuir. https://doi.org/10.1021/la030090w

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.