Expedited Kinetic Modeling Workflow Leveraging Medium-Throughput Automation
Abstract
The generation and application of kinetic models are of significant interest to process chemists, as they can enable rationale-driven process development, model-based optimization, and bolster and codify process understanding. However, there is a current critical gap in laboratory automation technologies in the gathering of representative, data-rich kinetic data at reasonable throughput to support the early and broad deployment of kinetic models. The novel ReactAll workstation seeks to close this gap. Herein, an evaluation of this workstation was carried out to investigate its suitability within the context of kinetic modeling activities. As a result, a kinetic model for an acid-catalyzed diethyl acetal deprotection process was developed that unexpectedly supported quinolinium species to be catalytically active.
Fields of Study & Subjects
Innovative Microfluidic and Catalytic Techniques Innovation
Asymmetric Hydrogenation and Catalysis
Machine Learning in Materials Science
Publication details
- Journal / source
- Organic Process Research & Development
- Publisher
- American Chemical Society (ACS)
- Volume
- 30
- Issue
- 2
- Pages
- 363–371
- Publication date
- 3 February 2026
- Language
- EN