Archived: Designing Robust Chromatographic Processes with a Proven Predictive Approach
Date: 17 March - 18 March 2020
Location: Frankfurt, Germany
Tutors: Dr Hector Osuna, Dr Lucrèce Nicoud
This course will present an overview of the state of the art in process chromatography. The attendees will learn how to develop preparative chromatographic processes. They will gain knowledge on the scale-up and optimization of these processes.
The course will cover the fundamentals of process chromatography and the tutors will present a rational and proven methodology for the design of efficient and robust chromatographic processes. They will show how this approach serves both the design of new processes and the resolution of issues encountered in the daily life of chromatographers.
The methodology rests upon the rigorous description of the physical phenomena at stake, which includes thermodynamics, kinetics of mass transfer and hydrodynamics of the separation. Predictive models are derived from the understanding of these phenomena and are then used to assess the impact of operating parameters on the process performances.
Major applications will also be presented, spanning across the ton-scale glucose/fructose separation or the purification of therapeutic protein with stringent purity constraints. Various case studies inspired from real industrial examples or taken from the most recent literature will illustrate that the general approach presented during these two day applies as a roadmap, irrespective of the application, and ultimately leads to the development of reliable and robust processes.
- Generalities and definition
- A bit of history
- Introduction to modeling
2. Operating modes
- Multi-column applications
1. Fluid partitioning
- Inert tracers
2. Phase equilibria and adsorption isotherms (thermodynamics)
- The linear case
- Non-linear adsorption isotherms
- Consequence on the shape of the chromatograms
- Band broadening
- The MC/PD models
4. Mass transfer (kinetics)
- Basic considerations
- Some notions about diffusion
- The Fick’s law at a glance
- The LDF approximation
- Van Deemter equation, comparison of equilibrium and LDF models
5. The autopsy of a model
- List of model parameters
- Impact of the parameters on the chromatograms
- Orders of magnitude and rigorous estimation
1. Generalities on scale-up and economics
- Cost function
2. Single-column Chromatography
- Case study
3. Counter-current multi-column processes
- Fundamentals of counter-current chromatography
- Basic design and shortcut approach
- From the true moving bed to the simulated moving bed
- Case study
1. Issues identification
Take home message and conclusions
2. Q&A discussion
The course fee includes:
- comprehensive course manual
- coffee/tea refreshments breaks throughout each day
- buffet lunch each day
- course dinner on the first evening
- course certificate
Free to Attend webinar:
Very insightful and informative course. Thoroughly enjoyed all aspects, especially background equations and troubleshooting/case studies. Also enjoyed simulations using software as they are more visual.
Thank you very much, course helped me to deeper understand how SMB works! Time well spent!
Very competent, flexible and open presenters.