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Transdermal Drug Delivery: Determining Permeation Parameters Using Tape Stripping and Numerical Modeling.

Fjola Jonsdottir1, Bergthora S Snorradottir2, Skuli Gunnarsson1

  • 1Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, 107 Reykjavik, Iceland.

Pharmaceutics
|September 23, 2022
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Summary
This summary is machine-generated.

This study uses numerical modeling and tape stripping to understand drug permeation through skin layers in transdermal drug delivery (TDD) systems. The findings confirm numerical models accurately represent skin permeability parameters.

Keywords:
diffusionmass transfernumerical modelpartitiontape strippingtransdermal

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Area of Science:

  • Pharmacology
  • Biomedical Engineering
  • Materials Science

Background:

  • Transdermal drug delivery (TDD) systems involve complex, multi-layered structures to control drug release and skin interaction.
  • Understanding drug permeation parameters through skin layers is crucial for optimizing TDD system efficacy.
  • Existing models often require refinement to accurately capture the nuances of drug diffusion across biological barriers.

Purpose of the Study:

  • To investigate and quantify the parameters governing drug permeation through skin layers within a transdermal drug delivery system.
  • To develop and validate a multi-layered numerical model for simulating drug diffusion.
  • To assess the correlation between experimental data and numerical predictions for skin permeability.

Main Methods:

  • Experimental diffusion studies using porcine skin in a Franz diffusion cell.
  • Tape stripping technique to quantify drug concentration within the stratum corneum.
  • Development of a multi-layered numerical model based on Fickian diffusion principles.
  • Determination of unknown skin permeability parameters, including interlayer partition and mass transfer coefficients.

Main Results:

  • A significant correlation was observed between the results obtained from numerical modeling and experimental data.
  • The numerical model accurately represents partition and mass transfer effects at the interlayer boundary.
  • Key parameters defining skin permeability, such as partition coefficients and mass transfer coefficients, were determined.
  • Tape stripping provided essential quantitative data for validating the diffusion model.

Conclusions:

  • Numerical modeling is indispensable for a comprehensive understanding of drug diffusion characteristics in transdermal systems.
  • The developed multi-layered model effectively captures the complex interactions governing drug permeation.
  • Accurate characterization of skin permeability parameters is achievable through integrated experimental and numerical approaches.
  • This work provides a robust framework for the design and optimization of future transdermal drug delivery systems.