Designing a chromatographic process requires selecting numerous operating parameters (column dimensions, number of steps, step duration, buffer type, eluent pH, flowrates, gradient slope…)
There is a high interest in using predictive simulation to predict the impact of key operating parameters and thus reduce the experimental burden and development times.
No satisfactory model for oligonucleotide purification was found in the literature, so we took the challenge to build one!