(368ao) Advancing Pharmaceutical Powder Engineering: Predictive Modeling and Tailored Particle Morphology for Enhanced Drug Processability

My PhD thesis explores the predictive enhancement of powder properties through tailoring particle morphology, a critical aspect of pharmaceutical powder processing. The research encompasses a multifaceted approach to understanding and optimizing powder behavior, with significant implications for drug formulation and manufacturing. The study begins by developing predictive models for powder bulk properties and their blends, utilizing particle-scale measures and advanced characterization techniques. These models provide valuable insights into the complex relationships between particle characteristics and macro-scale powder behavior4. A key focus of the research is the investigation of smooth and rough surface approaches to model inter-particle adhesion. This work assesses the extent of fine particle cohesion reduction through surface modification, offering potential strategies for improving powder flowability. The thesis then delves into simulations and experimental validations of particle size distribution (PSD) effects on bulk properties. This comprehensive analysis guides the development of dry coating processibility techniques for tailoring cohesion, bridging the gap between theoretical predictions and practical applications. Finally, the research culminates in a comparative study of lab and pilot scale methods for enhancing drug processibility through improved dry coating techniques. This investigation addresses critical scale-up challenges in pharmaceutical powder processing, providing valuable insights for industrial applications. Throughout the thesis, the interplay between particle morphology, surface properties, and bulk behavior is examined, offering a holistic approach to powder engineering. The findings contribute to the advancement of pharmaceutical powder technology, with potential implications for improving drug formulation, manufacturing efficiency, and ultimately, therapeutic efficacy.

Research Interests:

1. Particle Engineering in Pharmaceutical Powders
2. Predictive Modeling of Powder Bulk Properties
3. Surface Modification and Inter-particle Adhesion
4. Particle Size Distribution (PSD) Effects on Bulk Properties
5. Advanced Characterization Techniques for Pharmaceutical Powders
6. Dry Coating Processes for Enhanced Drug Processibility
7. Scale-up Challenges in Powder Processing
8. Novel Excipient Design for Improved Formulation
9. Continuous Manufacturing in Pharmaceutical Powder Processing
10. Discrete Element Modeling (DEM) in Powder Handling

Related Oral and Poster Presentations:

Title: Machine Learning and Deep Learning Models for the Analysis and Prediction of Pharmaceutical Powder Blend Properties
ID: 691975

Title: Enhancing Drug Processibility through Improved Dry Coating Techniques: A Comparative Study of Lab and Pilot Scale Methods
ID: 690159