SC 6: Understanding Chromatography to Design Efficient Bioprocesses with a Predictive Approach

ABOUT THIS COURSE:

Preparative chromatography is at the heart of the purification of biopharmaceuticals, both for capture and polishing steps, which mostly rely on affinity, hydrophobic interactions and/or ion exchange mechanisms. In this short course, Drs Nicoud and Osuna will present a rational approach to design efficient chromatographic processes based on mechanistic modeling. They will highlight the main physico-chemical phenomena involved, their impact on the separation and differences between process configurations (from single to multi-column). This methodology combines well targeted experiments and smart simulation tools to develop reliable and robust processes in a predictive way at different scales.

WHAT YOU WILL LEARN

• What are the key physical mechanisms to account for in a chromatography model
• How to adapt chromatography model to the chromatography mode
• Affinity
• HIC
• Ion-Exchange
• How to determine model parameters from experimental data
• How to select the most suitable process
• Single-column
• Multi-column
• Challenges in modeling biomolecules

INSTRUCTOR BIO:

Lucrèce NICOUD is a (bio)chemical engineer with expertise in process modeling and separation science. She graduated from ENSIC (Nancy, France) with major in chemical engineering and obtained her PhD from the ETH Zurich (Switzerland) in 2015. Her doctoral work focused on the stability of therapeutic proteins. As a post-doctoral fellow at ETH Zurich, she worked on the modeling of chromatographic systems, both single and multicolumn. She also contributed to the book Continuous Biopharmaceutical Processes: Chromatography, Bioconjugation and Protein Stability.1 Then, she carried out a research project at MIT (Cambridge, MA, USA) in the field of pharmaceuticals crystallization. She joined Ypso-Facto in 2018, where she is currently involved both in scientific consulting and software development.

Hector OSUNA is a chemical engineer with expertise in process modeling, reaction engineering and separation science. He graduated from CPE Lyon Engineering School (Lyon, France) with major in chemical engineering and obtained his Ph.D. from the University of Lyon (UCB Lyon1) (France). He worked at Novasep as an expert on the modeling and simulation of chromatographic processes for pharma and biopharma. He also contributed at lab-scale on proof-of-concept of multicolumn processes. As Innovation Manager at Processium, he then developed processes by combining chemical engineering and numerical tools. He joined Ypso-Facto in 2018 as Head of Biotech Modeling and is currently working on the development of simulation software solutions for the development and optimization of chemical and bio processes.