Finding the optimal conditions for a downstream purification process is of critical importance to gain high productivity and to achieve a robust biopharmaceutical manufacturing process at large scale. Screening for those conditions in columns is tedious and requires a large amount of sample. This is particularly true for ion exchange chromatography media, which can behave in a nontraditional manner (i.e., with optimal capacity at intermediate ionic strength) or for media with multimodal ligands where a different selectivity (relative to conventional ion exchange media) is expected. The ability to test many conditions in a parallel manner allows screening of a large experimental space. This improves the throughput in early stages of process development and also increases process knowledge, thereby allowing for identification of a robust design space.