Pre Conference Focus Day
Tuesday, February 13, 2024
9:30 am Check-In & Light Refreshments
10:00 am Chair’s Opening Remarks
10:15 am Ice Breaker
Characterizing the Target Protein for Regulatory Approval & Ease of Formulation
10:30 am Fireside Chat: Assessing Best Practices to Characterize the Target Protein with Sufficiently Specific Assays
Synopsis
- Benchmarking industry practices for characterizing target proteins
- Uncovering the level of specificity of assays and the analytical tools used
- Understanding how implementing analytics early in the process can predict insufficient quality or aberrant proteins
11:00 am Developing Analytics for Safety Packages for Regulatory Submission From Lab to Commercial Scale
Synopsis
- Understanding what aspects of the ingredient and final formulation determine the safety for regulatory submission
- Ensuring the validity of analytical frameworks from lab to commercial scale
- Determining the number of replicates needed to reduce turnaround times
11:30 am Morning Networking Break
Considering Methods to Increase the Robustness & Efficiency of Analytics at Different Scales
12:00 pm Identifying, Evaluating, Controlling, & Monitoring Biological Hazards in Fermentation Processes
Synopsis
- Discussing the growth of foodborne microbial pathogens in fermentation processes
- Reviewing growth conditions that allow most relevant foodborne pathogens to grow and/or produce toxins
- Exploring how to control these hazards
12:30 pm Roundtable Discussion: Ensuring the Scalability of Analytical Frameworks to Streamline Tech Transfer
Synopsis
- Promoting scalability of analytics through instrument selection
- Highlighting critical bottlenecks in the scalability of measurements
- Utilizing automation to drive efficiency and reduce error
1:00 pm Networking Lunch
2:00 pm Building Analytical Toolkits for Optimal Protein Characterization & Strain Engineering
Synopsis
- Designing robust analytical toolkits to optimize protein characterization with changing processes
- Leveraging analytical tools for effective R&D scale operations
- Exploring how effective analytics can reduce COGS