Reconfigurable system for automated optimization of diverse chemical reactions
Abstract
Chemists spend a great deal of time tweaking the conditions of known reactions. Small changes to temperature and concentration can have a big influence over product yield. Bédard et al. present a flow-based reaction platform that carries out this laborious task automatically. By using feedback from integrated analytics, the system converges on optimal conditions that can then be applied with high precision afterward. A series of modules with heating, cooling, mixing, and photochemical capabilities could be configured for a broad range of reactions. These include homogeneous and heterogeneous palladium-catalyzed cross-coupling, reductive amination, and the generation of sensitive intermediates under an inert atmosphere.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Sep 21, 2018
- Source ID
- 10.1126/science.aat0650
Entities
People
- Aaron A. Bedermann
- Andrea Adamo
- Anne-Catherine Bédard
- Brian Yue
- Jeremy Torosian
- Klavs F. Jensen
- Kosi C. Aroh
- M. Grace Russell
- Timothy F. Jamison
Organizations
- Army Research Office
- Massachusetts Institute of Technology
- Natural Sciences and Engineering Research Council