Systematic optimisation of carrier particle geometry in interactive powder mixtures via a parametric design approach
Melvin Wostry1, Regina Scherließ2
1Department of Pharmaceutics and Biopharmaceutics, Kiel University, Gutenbergstrasse 76, 24118 Kiel, Germany.
Summary
This study optimized carrier particle geometry for drug delivery using advanced simulations. Systematic geometric modifications significantly improved drug particle detachment, identifying key features for enhanced performance.
Area of Science:
- Pharmaceutical Engineering
- Computational Modeling
- Materials Science
Background:
- Optimizing carrier particle geometry is crucial for efficient drug delivery systems.
- Understanding drug particle detachment dynamics is key to formulation performance.
Purpose of the Study:
- To systematically improve carrier particle geometry for enhanced drug detachment.
- To utilize in-silico modeling and automated processes for geometry optimization.
Main Methods:
- Employed a parametric design tool for continuous carrier particle geometry modification.
- Utilized in-silico collision simulations to evaluate drug particle detachment.
- Implemented Bayesian Optimization for data evaluation and suggestion of new geometries.
- Developed a fully automated workflow integrating geometry creation, simulation, and evaluation.
Main Results:
- Demonstrated significant improvement in drug detachment performance through systematic geometry modification.
- Identified specific geometric features critical for successful drug particle detachment.
- Validated the effectiveness of the automated in-silico approach for particle design.
Conclusions:
- Systematic optimization of carrier particle geometry enhances drug delivery efficiency.
- Computational modeling and automated workflows accelerate the design and improvement of pharmaceutical particles.
- Key geometric features can be identified to guide future particle design for improved drug release.
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