CONNECTED UPSTREAM BIOPROCESSING

Significance of Topic

Direct measurement of critical process and product attributes is essential for accelerating bioprocess development and ensuring robust drug product manufacturing workflows. Integrating real-time analytical data enables faster decision making, reduces risk of batch failures, and streamlines upstream processing.

Objectives and Study Overview

The primary goal is to demonstrate how coupling a high-throughput bioreactor system with an at-line LC-MS platform can enhance data connectivity and process understanding. By linking the Sartorius Ambr 250 HT Multi-parallel Bioreactor with the Waters BioAccord LC-MS System, laboratories can automate sample handling, achieve rapid data acquisition, and make informed decisions to accelerate development and product release.

Methodology and Used Instrumentation

The workflow integrates:

• Sartorius Ambr 250 HT Multi-parallel Bioreactor for small-scale cell culture and automated sampling
• Waters BioAccord LC-MS System for at-line analysis of intact mass and product quality attributes

Samples are automatically queued from the Ambr sample list into the BioAccord system, where intact mass data are acquired and processed. Results are then exported back to the Ambr environment for visualization and decision support.

Main Results and Discussion

• Streamlined setup and enhanced data fidelity through bi-directional connectivity
• Accelerated access to critical analytical data reducing the time to decision points
• Improved understanding of process variability, leading to more robust and de-risked upstream operations

Benefits and Practical Applications

This integrated platform supports:

• High-throughput process development with minimal manual intervention
• Real-time monitoring of product quality attributes to ensure consistent batch performance
• Data-driven decision making for faster scale-up and commercialization

Future Trends and Potential Applications

As bioprocessing workflows become more digitized, future developments may include:

• Integration with advanced data analytics and machine learning for predictive process control
• Extended automation in sampling and data interpretation to further shorten development timelines
• Cloud-based platforms for centralized data management and collaborative research

Conclusion

The coupling of the Sartorius Ambr 250 HT system with the Waters BioAccord LC-MS platform exemplifies how seamless data connectivity enhances process insight, accelerates decision making, and promotes robust bioprocess development. This integrated approach is a key enabler for efficient, data-driven upstream operations.

References

• Waters Corporation. Connected Upstream Bioprocessing brochure. Milford, MA; 2023.