Determination of Permeability under Non-Steady State
Poster Number
23
Introduction/Abstract
Permeability is an important parameter in drug formulation and pharmacokinetics modeling. It is usually determined under Dirichlet boundary condition after reaching steady state. The traditional assay is time consuming.
Purpose
Estimate permeability under non-steady state.
Method
Non-linear regression program based on numerical Laplace transform and global optimization was developed to estimate permeability under unsteady state. The program is flexible with different boundary conditions. The performance of the program under Dirichlet and finite volume boundary conditions were validated by using simulated data. The proposed method was compared to the traditional method with lidocaine experimental data.
Results
The validation results showed the parameter estimation using our program is robust. The relative error is less than 0.2; CV% is less than 0.2%; R2 is 0.999. The parameter estimation results obtained from non-steady state data is within twice of that obtained from steady state data.
Significance
First, no commercial software is available for parameter estimation of partial differential equations. Second, this is the first method to determine permeability under non-steady state. In addition, it is friendly to different boundary conditions. Compared to the traditional assay performed under steady state, the proposed method is more efficient and flexible. It could greatly shorten experimental time period and reduce cost.
Location
DeRosa University Center, Stockton campus, University of the Pacific
Format
Poster Presentation
Determination of Permeability under Non-Steady State
DeRosa University Center, Stockton campus, University of the Pacific
Permeability is an important parameter in drug formulation and pharmacokinetics modeling. It is usually determined under Dirichlet boundary condition after reaching steady state. The traditional assay is time consuming.
