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Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
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Microfluidic extensional flow device to study mass transfer dynamics in the polymer microparticle formation process.

Suryavarshini Sundar1, Ghata Nirmal1, Suraj Borkar1

  • 1Department of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College Street, Toronto, ON M5S 3E5, Canada. arun.ramchandran@utoronto.ca.

Soft Matter
|July 23, 2024
PubMed
Summary
This summary is machine-generated.

This study models solvent extraction dynamics in polymer microparticle manufacturing using a microfluidic extensional flow device. The findings explain drop radius changes over time, crucial for controlling drug release kinetics.

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Area of Science:

  • Materials Science
  • Chemical Engineering
  • Biomedical Engineering

Background:

  • Polymer microparticles are key for sustained drug delivery.
  • Solvent extraction is a common manufacturing method, but extraction dynamics under shear are poorly understood.
  • Extraction rate critically impacts microparticle properties and drug release.

Purpose of the Study:

  • To develop an experimental mass transfer model for solvent extraction dynamics.
  • To investigate shear effects on extraction at the single-drop level.
  • To understand the relationship between extraction rate and microparticle characteristics.

Main Methods:

  • Utilized a microfluidic extensional flow device (MEFD) to control shear.
  • Employed a computer-controlled feedback algorithm to trap and observe single polymer drops.
  • Measured changes in drop radius over time for poly-lactic-co-glycolic acid (PLGA) in ethyl acetate (EtOAc) at varying extensional rates (0.1–10 s⁻¹).

Main Results:

  • Observed distinct short-time (R ∼ t) and long-time (R = constant) asymptotes for drop radius change.
  • Physically explained the observed dissolution trends based on mass transfer principles.
  • Developed a predictive transport model for solvent extraction in polymer systems.

Conclusions:

  • The developed model accurately predicts extraction rates and microparticle composition.
  • Understanding shear-dependent extraction is vital for optimizing microparticle manufacturing and drug release.
  • This work advances the understanding of convective mass transfer in emulsions.