An Autonomous Self-Optimizing Flow Reactor for the Synthesis of Natural Product Carpanone.

08:00 EDT 13th September 2018 | BioPortfolio

Summary of "An Autonomous Self-Optimizing Flow Reactor for the Synthesis of Natural Product Carpanone."

A modular autonomous flow reactor combining monitoring technologies with a feedback algorithm is presented for the synthesis of natural product carpanone. The autonomous self-optimizing system, controlled via MATLAB®, was designed as a flexible platform enabling an adaptation of the experimental setup to the specificity of the chemical transformation to be optimized. The reaction monitoring uses either on-line high pressure liquid chromatography (HPLC) or in-line benchtop nuclear magnetic resonance (NMR) spectroscopy. The custom-made optimization algorithm derived from the Nelder-Mead and golden section search methods performs constrained optimizations of black-box functions in a multi-dimensional search domain, thereby, assuming no a priori knowledge of the chemical reactions. This autonomous self-optimizing system allowed fast and efficient optimizations of the chemical steps leading to carpanone. This contribution is the first example of a multi-step synthesis optimized with an autonomous flow reactor.


Journal Details

This article was published in the following journal.

Name: The Journal of organic chemistry
ISSN: 1520-6904


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