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Published on: September 20, 2017
Experimentally Derived Hansen Solubility Parameters as a Screening Tool for the Formulation of Amorphous Solid
Adaeze R Osakwe1,2, Mira T N Le1,2, Jessica A Bramhall2
1Department of Chemistry, Franklin College of Arts and Sciences, University of Georgia, 140 Cedar Street, Athens, Georgia 30602, United States.
Experimentally derived Hansen solubility parameters (HSP) predict polymer/API compatibility for amorphous solid dispersions (ASDs). This approach enables rational design of high-loading ASDs with improved drug release, overcoming formulation challenges.
Area of Science:
- Pharmaceutical Science
- Materials Science
- Chemical Engineering
Background:
- Poor aqueous solubility of crystalline active pharmaceutical ingredients (APIs) is a major challenge in drug development.
- Amorphous solid dispersions (ASDs) enhance solubility but face limitations in API loading and release.
- Current methods often rely on time-consuming trial-and-error approaches for ASD formulation.
Purpose of the Study:
- To utilize experimentally derived Hansen solubility parameters (HSP) as a predictive tool for assessing polymer/API compatibility in ASD formulation.
- To enable early-stage, rational design of ASDs with high API loading capacity and improved dissolution.
- To investigate the influence of polymer/API interactions on ASD performance.
Main Methods:
- Determined HSP values for ten polymers and three APIs using experimental solubility screening and HSPiP software.
- Prepared ASDs via hot-melt extrusion guided by HSP-based miscibility predictions.
- Characterized polymer/API interactions using Fourier-transform infrared spectroscopy (FTIR) and differential scanning calorimetry (DSC).
Main Results:
- A linear relationship was found between relative energy difference (RED) and maximum amorphous API soluble (MADS), with lower RED correlating to higher API loadings (up to 45%).
- Specific intermolecular interactions significantly impacted dissolution behavior, as evidenced by FTIR and DSC.
- Amorphous griseofulvin release increased by up to 235% in ASDs with minimal intermolecular interactions compared to crystalline griseofulvin.
Conclusions:
- Experimentally derived HSP reliably predict ASD miscibility and API loading capacity.
- Physicochemical characterization provides mechanistic insights into dissolution behavior.
- An integrated framework using HSP facilitates the rational design of high-performance ASD formulations.
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