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Modeling of microbubble dissolution in aqueous medium.

Sameer V Dalvi1, Jignesh R Joshi1

  • 1Chemical Engineering, Indian Institute of Technology Gandhinagar, Chandkheda, Ahmedabad 382424, Gujarat, India.

Journal of Colloid and Interface Science
|December 3, 2014
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Summary
This summary is machine-generated.

This study introduces a new mathematical model for microbubble dissolution, incorporating shell elasticity, surface tension, and shell resistance. The model accurately predicts dissolution kinetics and estimates key shell parameters for improved microbubble design.

Keywords:
DissolutionElasticityMass transferMicrobubblesSurface tension

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Area of Science:

  • Multiphase flow dynamics
  • Materials science
  • Biophysics

Background:

  • Existing models for microbubble dissolution neglect crucial shell properties like elasticity, surface tension, and resistance.
  • Accurate estimation of these shell parameters is vital for understanding and predicting microbubble behavior.
  • Previous studies often assumed arbitrary values for shell parameters, limiting predictive accuracy.

Purpose of the Study:

  • To develop a comprehensive mathematical model for microbubble dissolution that includes shell elasticity (Es), surface tension (σ), and shell resistance (Ω).
  • To estimate these shell parameters using the developed model and existing experimental data.
  • To analyze the influence of these parameters on microbubble dissolution kinetics and times.

Main Methods:

  • Development of a novel mathematical model incorporating shell elasticity, surface tension, and shell resistance.
  • Estimation of shell parameters by fitting the model to experimental microbubble dissolution data from literature.
  • Analysis of the dynamic variations in surface tension and shell resistance during dissolution.

Main Results:

  • The proposed model accurately predicts experimental microbubble dissolution data with estimated shell parameters.
  • Surface tension and shell resistances exhibit significant dynamic changes during dissolution.
  • These variations are strongly dependent on shell elasticity, directly impacting microbubble dissolution times.

Conclusions:

  • The developed model provides a more accurate representation of microbubble dissolution kinetics.
  • The methodology allows for the estimation of shell parameters for various microbubble formulations.
  • This work facilitates the design of microbubble systems with tailored in-vitro and in-vivo performance characteristics.