Maximizing the Value of Multi-Use Rapid Cycling Chromatography (MU-RCC) with Multivariate Data Analysis (MVDA)
With thousands of data points generated during MU-RCC, MVDA can become a powerful tool to extract valuable information, boost your development, and improve troubleshooting techniques. SIMCA®, paired with SIMCA®-online, from Sartorius Digital Solutions, uses this data to monitor, predict, and forecast your processes in real-time.
SIMCA®-online uses a ‘golden batch’ model to anticipate the effect of changes as they happen. With early warning of deviations, you can make sure processes always perform according to specifications – maintaining optimum quality, maximizing resource efficiency and reduce costs.
Topics for the webinar:
Optimization:
• Understand cycle-to-cycle & batch-to-batch variations
• Develop models for in-process membrane health
• Quickly assess all variables at once to pinpoint root-causes
Repeatability:
• Implement ‘golden batch’ models in real-time
• Easily detect drifts in membrane pressure, pH, elution profiles, and other in-process variables
• Receive warnings before drifts start to affect the process, and take action to avoid costly mistakes
• Forecast how cycles & batches will finish
What You Will Learn:
- Understand cycle-to-cycle & batch-to-batch variations
- Develop models for in-process membrane health
- Implement ‘golden batch’ models in real-time
- Forecast how cycles & batches will finish