Automation and Microfluidics for the Efficient, Fast, and Focused Reaction Development of Asymmetric Hydrogenation Catalysis
Name
ChemSusChem - 2022 - Putten - Automation and Microfluidics for the Efficient Fast and Focused Reaction Development of.pdf
Description
Published version
Size
1.61 MB
Format
Adobe PDF
Checksum (MD5)
af47ce7b6914cc1ed0d4adc0654abf8d
Author(s) • • • • • •
van Putten, Robbert
Eyke, Natalie S
Baumgartner, Lorenz M
Schultz, Victor L
Filonenko, Georgy A
Jensen, Klavs F
Pidko, Evgeny A
Date Issued
April 26, 2022
Journal
ChemSusChem
Publisher
Wiley
Citation
van Putten, Robbert, Eyke, Natalie S, Baumgartner, Lorenz M, Schultz, Victor L, Filonenko, Georgy A et al. 2022. "Automation and Microfluidics for the Efficient, Fast, and Focused Reaction Development of Asymmetric Hydrogenation Catalysis." ChemSusChem, 15 (14).
Version
Final published version
Abstract
Automation and microfluidic tools potentially enable efficient, fast, and focused reaction development of complex chemistries, while minimizing resource- and material consumption. The introduction of automation-assisted workflows will contribute to the more sustainable development and scale-up of new and improved catalytic technologies. Herein, the application of automation and microfluidics to the development of a complex asymmetric hydrogenation reaction is described. Screening and optimization experiments were performed using an automated microfluidic platform, which enabled a drastic reduction in the material consumption compared to conventional laboratory practices. A suitable catalytic system was identified from a library of RuII-diamino precatalysts. In situ precatalyst activation was studied with 1H/31P nuclear magnetic resonance (NMR), and the reaction was scaled up to multigram quantities in a batch autoclave. These reactions were monitored using an automated liquid-phase sampling system. Ultimately, in less than a week of total experimental time, multigram quantities of the target enantiopure alcohol product were provided by this automation-assisted approach.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1002/cssc.202200333