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Related Concept Videos

Membrane Fluidity01:23

Membrane Fluidity

Cell membranes are composed of phospholipids, proteins, and carbohydrates loosely attached to one another through chemical interactions. Molecules are generally able to move about in the plane of the membrane, giving the membrane its flexible nature called fluidity. Two other features of the membrane contribute to membrane fluidity: the chemical structure of the phospholipids and the presence of cholesterol in the membrane.

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A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates
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Development and Implementation of a Hinderance-based In Vitro Model for Porous Membranes.

Daniel A Paterson1, Lucy Coleman2, Yuri Dancik1

  • 1Certara Predictive Technologies Division, Certara UK Ltd., Level 2-Acero 1 Concourse Way, Sheffield, S1 2BJ, UK.

The AAPS Journal
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

A new in vitro release testing (IVRT) model uses membrane properties to predict drug release, aiding dermal formulation development. This model shows promise for parameterizing physiologically based pharmacokinetic (PBPK) models.

Keywords:
in vitro release testinggeneric membraneibuprofenmodelling

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Area of Science:

  • Pharmacokinetics
  • Formulation Science
  • Computational Modeling

Background:

  • In vitro release testing (IVRT) is crucial for dermal formulation development, providing data without skin complexities.
  • Physiologically based pharmacokinetic (PBPK) models require accurate parameterization for predicting drug behavior.
  • Existing IVRT data can enhance PBPK model parameterization.

Purpose of the Study:

  • To develop a hindrance-based in vitro release testing (IVRT) model.
  • To integrate membrane characteristics into a mechanistic dermal PBPK model parameterization workflow.
  • To validate the model's performance using experimental ibuprofen data.

Main Methods:

  • Developed a hindrance-based IVRT model within the Simcyp in vitro permeation testing (IVPT) module.
  • Modeled membranes as cylindrical pore systems, utilizing pore size, porosity, tortuosity, and thickness.
  • Applied a 2-step model describing drug entry, diffusion, and partitioning.

Main Results:

  • The model demonstrated acceptable performance for microfiltration membranes (pore diameters > 0.1 µm).
  • Simulations for nanofiltration membranes (pore diameters < 0.01 µm) indicated a need for further optimization.
  • Model validation was performed using ibuprofen IVRT data across various membranes.

Conclusions:

  • The developed IVRT model effectively utilizes membrane characteristics to simulate drug release.
  • The model shows potential for parameterizing dermal PBPK models, particularly with microfiltration membranes.
  • Further refinement is necessary for accurate simulation of drug release through nanofiltration membranes.