407 Control Strategies in Pharmaceutical Drug Product Development and Manufacturing

Wednesday, November 18, 2020: 8:00 AM - 9:00 AM
Pharmaceutical Discovery, Development and Manufacturing Forum (26) (PreRecorded+)

Description:
This sessions highlight the selection and monitoring of critical quality attributes (CQA) to ensure desired performance in drug product during pharmaceutical development and/or manufacturing. The integration of empirical and theoretical process models with a control strategy is a focus of this session. The successes and challenges associated with advanced control strategies, such as model predictive control and multivariate control, are addressed. The scope of this session includes batch, semi-continuous, and continuous processes. Academic and industrial research involving the novel use of Process Analytical Tools for on-line monitoring of CQAs are explored. Applications of lab-based PAT to identify scalable process fingerprint and establish control strategy, as well as advancements in technologies and methods toward real-time monitoring and release are included.

Sponsor:
Pharmaceutical Discovery, Development and Manufacturing Forum
Chair:
Elcin Icten Gencer Email: eicten@amgen.com
Co-chairs:
Daniel L. Obrzut Email: daniel.obrzut@fda.hhs.gov
Huiquan Wu Email: huiquan.wu@fda.hhs.gov



(407b) Prediction of Entire Tablet Compositions from Pure Powder Spectra Using a Nonlinear Iterative Optimization Method
Yukteshwar Baranwal, Andrés D. Román-Ospino, Douglas Hausner, Fernando Muzzio and Rohit Ramachandran


(407c) Real-Time Monitoring of Powder Mass Flowrates for MPC/PID Control of a Continuous Direct Compaction Tablet Manufacturing Process
Yan-Shu Huang, Sergio Medina-González, Yasasvi Bommireddy, Sunidhi Bachawala, Marcial Gonzalez, Zoltan K. Nagy and Gintaras V. Reklaitis



(407e) Use of Process Data for Granule Moisture Estimation in the Consigma 25TM Semi-Continuous Fluid Bed Dryer
Jakob Rehrl, Stephan Sacher, Wen-Kai Hsiao, Martin Horn and Johannes G. Khinast


(407f) Monitoring Loss-in-Weight Pharmaceutical Feeders through State Estimation
Francesco Destro, Salvador García-Muñoz, Pierantonio Facco, Fabrizio Bezzo and Massimiliano Barolo