Data-rich synthetic chemistry, enabled by high-throughput experimentation (HTE) and automation, allows the acquisition of concentration data across the full time-course of multiparallel reactions. This approach is both time- and material-efficient and can be leveraged for strategies beneficial to pharmaceutical process development, including reaction profiling, visual kinetic analysis, and predictive kinetic and hybrid reaction modeling. Here, we describe the development and adoption of HTE kinetics workflows within AstraZeneca’s process chemistry department and the advantages realized.
Clarke et al. (Wed,) studied this question.