There is increasing pressure in the biopharmaceutical and chemical industries to develop manufacturing scale crystallization processes with lower cost and higher quality. One of the most troublesome yet critical unit operations in the manufacturing chain is the crystallization step. Through implementation of METTLER TOLEDO FBRM® in-process particle characterization technology, crystallization processes can be monitored and optimized in real time ensuring less batch failures, greater production throughput and higher product quality. This production crystallization webinar will showcase five high impact ways that scientists and engineers can use FBRM® real time particle characterization to achieve ideal crystallization conditions in production. Focusing on case studies, special attention will be paid to the most common ‘problem areas’ encountered in production crystallizations where the implementation of FBRM® has been successful. |  Preview the Production Crystallization On-Demand Webinar |
- Ensure batch-to-batch consistency
- Target a desired crystal endpoint distribution
- Monitoring and optimizing seed loading and dispersion
- Optimizing filtration rates and product throughput
- Correlating crystal distribution data to bulk powder properties
Production Crystallization On-Demand Webinar Presenter
Your online presenter, Brian O’Sullivan, has extensive experience in the implementation of in situ technologies in batch crystallization design and development. His Ph.D. focus was the application and utilization of in situ analytics, such as FBRM®, PVM® and ReactIR™, for understanding, developing and optimizing batch crystallization processes with particular emphasis on polymorphic crystallization processes.
As part of the METTLER TOLEDO commitment to continuing education in crystallization, we offer complimentary educational webinars that explore the industry and application information relevant to Chemists and Chemical Engineers.
After purchasing Lasentec® in 2001, METTLER TOLEDO has become the world leader for inline particle/droplet size, shape, and count characterization.