About this event:

Date: May 16, 2023

Time: 11 am EDT | 8 am PDT |
5 pm CEST

Duration: 30 minutes

In the biopharmaceutical industry, enhancing process productivity and facility efficiency while mitigating the risk of column packing failure remains a critical endeavor. This webinar delves into the technical nuances of leveraging OPUS pre-packed chromatography columns to achieve these objectives.

OPUS columns revolutionize chromatography workflows by expediting speed-to-clinic, offering a scalable solution, and mitigating the risk of column packing failure. By eliminating the column packing process for customers, OPUS enables swift transition from development to manufacturing phases, facilitating accelerated drug development timelines. The scalability of OPUS columns ensures seamless integration into various manufacturing processes, catering to the dynamic needs of bioprocessing facilities. Eliminating column packing failure risk liberates production support resources and attention to focus on optimizing the manufacturing process, thereby fostering heightened facility efficiency.

A compelling case study showcases tangible savings achieved by a customer through the adoption of OPUS pre-packed columns. By transitioning from self-packed columns to OPUS, the customer realized substantial cost savings in terms of dollars, time, training, and skilled resources. Furthermore, the adoption of OPUS columns led to reduction in the risk associated with column packing failures; therefore safeguarding manufacturing processes against disruptions and ensuring uninterrupted production schedules.

Key Takeaways:

• Understand how OPUS pre-packed chromatography columns expedite speed-to-clinic and enhance scalability while facilitating accelerated drug development timelines.
• Appreciate the significance of eliminating column packing failures through onboarding OPUS columns with reliable performance to optimize manufacturing processes and bolster facility efficiency.
• Evaluate the tangible benefits, including cost savings and risk reduction, attained by transitioning from self-packed columns to OPUS pre-packed columns through a detailed case study analysis.