Content

PAT for Real-time Culture Monitoring and Closed-Loop Process Control

Delivery methods

Course content

upstream course

Special Topics

This course can count toward your Professional Certificate in Biomanufacturing Science.

Why should you attend?

In this three-day, hands-on course, you will gain familiarity with and applied insight into the functionality of control equipment and instrumentation, and how to integrate Process Analytical Technology (PAT) into a model yeast fermentation for more advanced in-line monitoring and process control. Participants will work with traditional sensors, a PAT spectral sensor, and multivariate data analysis (MVDA) software, to model, monitor, and control a microbial process.

This course will give professionals with experience in fermentation an in-depth introduction to process instrumentation and its integration into a distributed control system. Professionals will learn how process information is communicated and used for different engineering controls, including PID control, split-range control, and cascade control within the DeltaV distributed control system. A Raman spectral sensor and Partial Least Squares (PLS) model will be deployed for process monitoring and control to familiarize participants with implementing PAT in an upstream process. Participants will gain hands-on experience with data analytics software to build a data model for monitoring in real-time to enable better control of process parameters such as substrate concentration, and allow tighter control of the culture process. Coming out of this course professionals will have the knowledge of how to deploy a PAT system for an upstream process.

Attend and you will learn

  • To design and set up basic process monitoring, feedback, and control loop systems
  • To use commercial MVDA software to model and monitor process parameters in a yeast culture
  • To utilize a PAT sensor and PLS modeling for process monitoring and feedback control

Who should attend

This course is intended for scientists and engineers familiar with biomanufacturing processes, and with some experience in fermentation, who are interested in gaining insight into how the control equipment functions and how PAT sensors are employed to monitor a process. This course is appropriate for upstream process engineers, manufacturing scientists, process developers, and integrators who are interested in learning more about using predictions from statistical models to monitor and control a bioreactor process. Participants do not need advanced knowledge of process automation or the use of analytics to build models for this course.

Attend and you will receive

  • 22 hours of instruction
  • Digital course materials
  • Morning coffee and tea
  • Lunch
  • Afternoon beverage break
  • Certificate of completion

Instructors

Fee

$2,975

Important Information for In-person Course Participants

Please read about BTEC’s policies on payment, cancellation, pre-course communication and other important information for in-person courses offered on site at BTEC.