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Capillary Electrophoresis: Applications01:30

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Related Experiment Video

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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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Modelling skin permeability with micellar liquid chromatography.

Laura J Waters1, Yasser Shahzad, John Stephenson

  • 1School of Applied Sciences, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK.

European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences
|August 17, 2013
PubMed
Summary
This summary is machine-generated.

Micellar liquid chromatography (MLC) can predict skin permeation for drugs. This method offers a robust alternative to traditional partition coefficient measurements, enhancing predictions of drug skin permeability (K(p)).

Keywords:
ChromatographyMicellarModellingPartition coefficientPermeability

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Area of Science:

  • Pharmacokinetics and Drug Delivery
  • Chromatographic Science
  • Dermatological Research

Background:

  • Micellar liquid chromatography (MLC) is a chromatographic technique.
  • The octanol-water partition coefficient (logP(ow)) is a traditional parameter for predicting drug behavior.
  • MLC has been used to predict partition coefficient values (logP) but not skin permeability (K(p)).

Purpose of the Study:

  • To evaluate the application of MLC for predicting skin permeation.
  • To establish a quantitative relationship between MLC-derived values and skin permeability.
  • To compare MLC with traditional methods for predicting drug skin penetration.

Main Methods:

  • A series of model compounds were analyzed using micellar liquid chromatography (MLC).
  • Chromatographically determined partition coefficients (logP(mw)) were obtained.
  • Quantitative relationships between logP(mw) and skin permeability (K(p)) were established.

Main Results:

  • MLC successfully predicted skin permeation for model compounds.
  • Replacing logP(ow) with logP(mw) resulted in a robust quantitative partition-permeability relationship.
  • MLC demonstrated enhanced predictive ability for drug skin permeability (K(p)).

Conclusions:

  • MLC is a valuable tool for predicting skin permeation.
  • MLC offers a robust and potentially advantageous alternative to traditional methods for assessing drug skin penetration.
  • This study establishes MLC as a viable technique for skin permeability modeling.