Mechanistic modeling can help secure scale-up: Myth or Fact?
Unlike statistical models which are based on correlations and are only valid for their calibration data set, mechanistic model parameters have an actual physical meaning and can be applied to different process setups and process scales.
This gives you confidence in scaling up your chromatography processes by changing column dimensions and even enables you to adapt the operating sequence if needed. Mechanistic modeling can also help with troubleshooting. If the scaled-up process isn’t performing as expected, you can test potential reasons via simulation and take appropriate action based on the results.
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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: