Robust and scalable kinetic model generation from automated small scale experimentation

  • Application note
  • March 18, 2026

Content overview

Modelling offers both mechanistic and kinetic insights into chemical reactions, while also accelerating pharmaceutical process development. However, these models traditionally require significant amounts of time and material. This results in them being employed later in development, as high throughput screening (HTS) tools do not provide the data rich experimentation required to build accurate, reliable and scalable models.

This application note highlights the study by Argüelles et al demonstrating the medium throughput capabilities of the ReactALL and how it enables screening more variables with little material in representative conditions, making it the ideal platform for developing kinetic models. In this study, 3 mechanistic models are tested from as few as 6 experiments with key variables, to uncover mechanism insights and process considerations. The best suited model was then tested further to show its scalability. 

Reference

We acknowledge the following published study, and we are deeply thankful to the authors for their valuable contributions in chemical reaction research utilizing the ReactALL instrument.

Expedited Kinetic Modeling Workflow Leveraging Medium-Throughput Automation, Stefanie Swiecki and Alonso J. Argüelles, Organic Process Research & Development 2026 30 (2), 363-371, DOI: 10.1021/acs.oprd.5c00373

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