Handbook of Pharmaceutical Wet Granulation: Theory and Practice in a Quality by Design Paradigm, Second Edition offers a single and comprehensive reference dedicated to all aspects of pharmaceutical wet granulation, taking a holistic approach by combining introductory principles with practical solutions. Chapters are written by international experts across industry, academic and regulatory settings, and cover a wide spectrum of relevant and contemporary wet granulation topics, techniques and processes. This completely revised and updated edition features five new chapters covering new AI tools applied to scaling up granulation processes, model drive design, machine learning models for granule property prediction, design and scale up of fluid bed granulation, and process analytical methods. This book is the prefect reference for pharmaceutical manufacturing professionals. Academic researchers will benefit from the practical advice provided by the editors and chapter authors.
1. Process Analytical Technologies to Study Granule Densification and Cohesion
2. Power consumption-based granulation end point: Does it Predict Scale-up?
3. A quality by design approach using artificial intelligence techniques to control the critical quality attributes of ramipril tablets manufactured by wet granulation
4. Commonly used Mathematical Models in Wet Granulation
5. Elucidating Molecular Mechanisms of Wet Granulation using NIR Detection of Water and the Effect on Tablet Dissolution
6. Multivariate Analysis for Process Control of High Shear Wet Granulation
7. Impact of Granulation Techniques on Granule and Tablet Properties
8. Material Physical Modifications Induced by Wet Granulation (Current chapter 6)
9. Spectroscopic Methods for Real-time Monitoring of Pharmaceutical Wet Granulation
10. Continuous Twin Screw Granulation: A Review of Recent Progress and Opportunities in Formulation and Equipment Design
11. Artificial Intelligence Tools for Scaling Up of High Shear Wet Granulation Process
12. Model driven design for twin screw granulation using mechanistic-based population balance model
13. Machine learning models for prediction of granule properties in twin screw granulation
14. Design and scale up of fluid bed granulation
15. Process analytical methods for monitoring of pharmaceutical wet granulation
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