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Control of API release with matrix polymorphism in tristearin microspheres
Amanda M Pluntze1, Jonathan L Cape2, Nathaniel D Klaus2
1Global Research and Development, Small Molecules, Lonza, 64550 Research Road, Bend, OR 97703, United States.
International Journal of Pharmaceutics
|March 9, 2023
Summary
Drug release from solid lipid matrices like tristearin depends on its polymorphic form. Understanding triglyceride polymorphism guides pharmaceutical formulation for controlled drug release rates.
Area of Science:
- Pharmaceutical Science
- Materials Science
- Physical Chemistry
Background:
- Glycerides serve as crucial solid matrices in pharmaceutical formulations.
- Drug release mechanisms are often diffusion-based and influenced by lipid matrix properties.
- Triglyceride polymorphism significantly impacts drug release kinetics.
Purpose of the Study:
- To investigate the effect of tristearin polymorphic states (α and β) on caffeine drug release.
- To explore how conversion routes between polymorphs influence drug release.
- To understand the impact of API loading on drug release from lipid matrices.
Main Methods:
- Utilized model formulations of crystalline caffeine embedded in tristearin.
- Employed contact angle measurements to assess wettability.
- Applied NMR diffusometry to study diffusion-based drug release mechanisms.
- Analyzed the influence of different polymorphic conversion routes.
Main Results:
- Drug release from the α-polymorph is diffusion-limited, with initial burst release due to good wetting.
- The β-polymorph exhibits slower initial release due to poor wettability and surface blooming.
- The method of achieving the β-polymorph affects crystallite size and packing, altering release profiles.
- Increased API loading enhances porosity and accelerates drug release.
Conclusions:
- Triglyceride polymorphism is a critical factor controlling drug release rates in pharmaceutical formulations.
- Wettability, porosity, and tortuosity of lipid polymorphs dictate drug diffusion.
- Formulation strategies should consider polymorphic transitions and API loading for optimized drug delivery.

