Droplet formation of biological non-Newtonian fluid in T-junction generators. I. Experimental investigation

Merve Marcali, Xiaoming Chen, Marc G. Aucoin, and Carolyn L. Ren
Phys. Rev. E 105, 025105 – Published 14 February 2022
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Abstract

The extension of microfluidics to many bioassay applications requires the ability to work with non-Newtonian fluids. One case in point is the use of microfluidics with blood having different hematocrit levels. This work is the first part of a two-part study and presents the formation dynamics of blood droplets in a T-junction generator under the squeezing regime. In this regime, droplet formation with Newtonian fluids depends on T-junction geometry; however, we found that in the presence of the non-Newtonian fluid such as red blood cells, the formation depends on not only to the channel geometry, but also the flow rate ratio of fluids, and the viscosity of the phases. In addition, we analyzed the impact of the red blood cell concentration on the formation cycle. In this study, we presented the experimental data of the blood droplet evolution through the analysis of videos that are captured by a high-speed camera. During this analysis, we tracked several parameters such as droplet volume, spacing between droplets, droplet generation frequency, flow conditions, and geometrical designs of the T junction. Our analysis revealed that, unlike other non-Newtonian fluids, where the fourth stage exists (stretching stage), the formation cycle consists of only three stages: lag, filling, and necking stages. Because of the detailed analysis of each stage, a mathematical model can be generated to predict the final volume of the blood droplet and can be utilized as a guide in the operation of the microfluidic device for biochemical assay applications; this is the focus of the second part of this study [Phys. Rev. E 105, 025106 (2022)].

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  • Received 19 May 2021
  • Accepted 29 December 2021

DOI:https://doi.org/10.1103/PhysRevE.105.025105

©2022 American Physical Society

Physics Subject Headings (PhySH)

Fluid DynamicsInterdisciplinary PhysicsPolymers & Soft Matter

Authors & Affiliations

Merve Marcali1, Xiaoming Chen1, Marc G. Aucoin2, and Carolyn L. Ren1,*

  • 1Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario, Canada
  • 2Department of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada

  • *c3ren@uwaterloo.ca

See Also

Droplet formation of biological non-Newtonian fluid in T-junction generators. II. Model for final droplet volume prediction

Merve Marcali, Xiaoming Chen, Marc G. Aucoin, and Carolyn L. Ren
Phys. Rev. E 105, 025106 (2022)

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Vol. 105, Iss. 2 — February 2022

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