Mechanistic modeling can help switch from batch to continuous: Myth or Fact?
Fact
Once model parameters have been determined with a single column system, they can be used to perform simulations of multicolumn chromatography (MCC) with any number of columns.
Calculating key performance indicators (KPIs) for both single and multicolumn systems can help to compare options and make informed decisions.
For example, we compared a Multicolumn Countercurrent Solvent Gradient Purification (MCSGP) to a single-column process for oligonucleotide purification and assessed the impact of the number of columns on KPIs for monoclonal antibody capture. Discover the case study here.
If you want to learn more about mechanistic chromatography modeling, download our infography below.
Curious about more myths and facts in the world of mechanistic modeling? Each post in our series tackles common misconceptions and provides insightful answers to frequently asked questions. Check out the other posts in this series and others articles that might be of interest:
- Application Note: Comparison of single column and MCSGP processes with mechanistic simulation
- Mechanistic modeling completely replaces experiments: Myth or Fact?
- Mechanistic modeling is complex: Myth or Fact?
- Mechanistic modeling requires many experiments: Myth or Fact?
- Mechanistic modeling can help secure scale-up: Myth or Fact?
- Designing affinity chromatographic processes for the capture of antibodies
