After successful identification of potential Critical Quality Attributes (CQAs) and Critical Process Parameters (CPPs) by thorough risk analysis, the relationship of CQAs and CPPs needs to be examined. Design of Experiments (DoE) supports the user obtaining knowledge from experimental data by performing a minimum of experiments to achieve optimized processes.
Nowadays, DoE is one of the most important techniques for systematic planning and execution as well as statistical evaluation and modelling of experiments. Advanced by the FDA initiative for Process Analytical Technologies (PAT), the implementation of DoE in the development and design phase of products and processes is frequently applied.
Sartorius provides DoE tools and services for cost- and time-saving process optimization.