Machine assisted reaction optimization: A self-optimizing reactor system for continuous-flow photochemical reactions

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Type
Article
Authors
Poscharny, K.
Fabry, D.C.
Heddrich, S.
Sugiono, E.
Liauw, M.A.
Rueping, Magnus cc
KAUST Department
Physical Sciences and Engineering (PSE) Division
Chemical Science Program
KAUST Catalysis Center (KCC)
Date
2018-04-07

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Abstract
A methodology for the synthesis of oxetanes from benzophenone and furan derivatives is presented. UV-light irradiation in batch and flow systems allowed the [2 + 2] cycloaddition reaction to proceed and a broad range of oxetanes could be synthesized in manual and automated fashion. The identification of high-yielding reaction parameters was achieved through a new self-optimizing photoreactor system.
Citation
Poscharny K, Fabry DC, Heddrich S, Sugiono E, Liauw MA, et al. (2018) Machine assisted reaction optimization: A self-optimizing reactor system for continuous-flow photochemical reactions. Tetrahedron. Available: http://dx.doi.org/10.1016/j.tet.2018.04.019.
Sponsors
Technical assistance by Cornelia Vermeeren is very gratefully acknowledged. The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007–2013)/ERC Grant Agreement No. 617044 (SunCatChem).
Publisher
Elsevier BV
Journal
Tetrahedron
ISSN
0040-4020
DOI
10.1016/j.tet.2018.04.019
Handle URI
http://hdl.handle.net/10754/627521
Additional Links
http://www.sciencedirect.com/science/article/pii/S0040402018303983
Collections
Articles; Physical Sciences and Engineering (PSE) Division; Chemical Science Program; KAUST Catalysis Center (KCC)