Issue 6, 2016

Suzuki–Miyaura cross-coupling optimization enabled by automated feedback


An automated, droplet-flow microfluidic system explores and optimizes Pd-catalyzed Suzuki–Miyaura cross-coupling reactions. A smart optimal DoE-based algorithm is implemented to increase the turnover number and yield of the catalytic system considering both discrete variables—palladacycle and ligand—and continuous variables—temperature, time, and loading—simultaneously. The use of feedback allows for experiments to be run with catalysts and under conditions more likely to produce an optimum; consequently complex reaction optimizations are completed within 96 experiments. Response surfaces predicting reaction performance near the optima are generated and validated. From the screening results, shared attributes of successful precatalysts are identified, leading to improved understanding of the influence of ligand selection upon transmetalation and oxidative addition in the reaction mechanism. Dialkylbiarylphosphine, trialkylphosphine, and bidentate ligands are assessed.

Graphical abstract: Suzuki–Miyaura cross-coupling optimization enabled by automated feedback

Supplementary files

Article information

Article type
29 Aug 2016
27 Sep 2016
First published
18 Oct 2016
This article is Open Access
Creative Commons BY license

React. Chem. Eng., 2016,1, 658-666

Suzuki–Miyaura cross-coupling optimization enabled by automated feedback

B. J. Reizman, Y. Wang, S. L. Buchwald and K. F. Jensen, React. Chem. Eng., 2016, 1, 658 DOI: 10.1039/C6RE00153J

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