Robust and scalable kinetic model generation from automated small-scale experimentation

Building robust kinetic and mechanistic models is essential for efficient pharmaceutical process development, but traditional approaches often require extensive experimentation, significant material consumption and lengthy development timelines.

This application note from Technobis demonstrates how the ReactALL, an innovative benchtop multiple reactor system, enables data-rich experimentation under representative process conditions, helping scientists develop reliable reaction models much earlier in development. Expanding on research published in Organic Process Research & Development, this paper shows how three mechanistic models were evaluated using as few as six experiments, delivering valuable process insights while minimising material requirements.

Download your free application note to learn:

• How to generate high-quality kinetic modelling data with minimal material consumption
• Why medium-throughput experimentation can outperform traditional HTS approaches for model development
• The process variables that matter most when building reliable reaction models
• How ReactALL supports scalable model development from early research through to process optimisation