Improving Productivity and Reducing Cogs in Bioprocesses Using Capacitance as a PAT Tool
Complimentary
Learning Level: Intermediate
Time: 1030 - 1130 EST
Session Length: 1 hour
In the biopharma industry, two key objectives are to increase process productivity and reduce high cost of goods sold (COGS). Such improvements offer numerous advantages, including heightened efficiency, expanded capacity, expedited time to market, wider market adoption, lower selling prices, improved affordability, increased profitability and accelerated drug development. Over the years, dielectric spectroscopy, or capacitance technology, has been used as a reliable, inline and real-time PAT tool to measure the viable cell density in bioprocess. Several groups have reported the use of capacitance to improve productivity & reduce the COGS of different bioprocesses. This presentation will cover the principle of capacitance measurement, and present real-world case studies on using this technology in various applications, including continuous manufacturing, perfusion, process intensification, viral vector and vaccine manufacturing processes and fed batch culture to manufacture monoclonal antibodies, with a focus on cost reduction and productivity improvement.
Learning Objectives
- Understand the principles and capabilities of capacitance technology as a PAT tool. Participants will gain foundational knowledge of how dielectric spectroscopy (capacitance) works to measure viable cell density in real-time, and why it is a robust, inline monitoring tool in bioprocessing.
- Explore real-world applications of capacitance in diverse bioprocessing modalities. The webinar will showcase practical case studies from perfusion, fed-batch, continuous manufacturing, and viral vector/vaccine processes, illustrating how capacitance can be effectively integrated into different upstream workflows.
- Learn how capacitance-based monitoring can drive productivity gains and reduce COGS. Attendees will understand how implementation of this technology can contribute to improved process control, reduced batch failures, optimized resource use, and ultimately, lower cost of goods sold and accelerated process development timelines.
