Autonomous optimisation of biocatalytic reactions: enzymatic synthesis of N-benzyl acetoacetamide in continuous flow

Abstract

Biocatalysis represents an invaluable tool for developing more sustainable pharmaceutical manufacturing processes. However, the optimisation of these complex transformations remains challenging when using traditional methods. Recent advances in the field of chemical reaction optimisation have employed Bayesian optimisation, which has been successfully integrated into automated flow reactors to develop self-optimising reactor platforms. Although self-optimisation has been applied to chemical transformations with great effect, it has not yet been applied to biocatalytic reactions. In this work, we report the first application of multiobjective and mixed variable Bayesian optimisation for the automated development of a biocatalytic transformation. Using this approach, we develop a significantly improved process for the direct amidation of a β-ketoester in just 31 hours of experimental time, while also extracting insights from the black-box models to understand solvent-dependent effects and interactions among the reaction conditions.

Graphical abstract: Autonomous optimisation of biocatalytic reactions: enzymatic synthesis of N-benzyl acetoacetamide in continuous flow

Supplementary files

Article information

Article type
Edge Article
Submitted
10 Jun 2025
Accepted
09 Sep 2025
First published
10 Sep 2025
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY license

Chem. Sci., 2025, Advance Article

Autonomous optimisation of biocatalytic reactions: enzymatic synthesis of N-benzyl acetoacetamide in continuous flow

M. J. Takle, S. C. Cosgrove and A. D. Clayton, Chem. Sci., 2025, Advance Article , DOI: 10.1039/D5SC04249F

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