Automated Optimisation of Discrete and Continuous Parameters for Manufacture of Pharmaceuticals

Lead Research Organisation: University of Leeds
Department Name: Chemical and Process Engineering


Automation has been applied to the optimization of chemical synthesis in flow reactors using algorithms to automatically explore and fine-tune reaction conditions. The Bourne lab (Leeds, UK) has developed a system which self-optimizes continuous variables (e.g. temperature, reagent equivalents, residence time) and has successfully transferred this technology to industrial partners. This Bourne lab-Pfizer collaboration aims to explore liquid handling robotics and mathematical techniques to extend the scope to non-continuous variables such as reagent, catalyst and solvent choice, thus accelerating the screening and optimization of flow-amenable chemistries, as well as investigating reductions in material usage.

Development of workflows, instrumentation, control software and computational protocols to allow non-continuous variable self-optimization using liquid handling robotics
Development of computational protocols to allow non-continuous variable self-optimization using mathematical techniques such as chemical descriptors
Studies into minimization of material usage in self-optimization workflows


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R513258/1 30/09/2018 29/09/2023
2284881 Studentship EP/R513258/1 30/09/2019 30/03/2023 Oliver Kershaw