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

Poscharny, K.; Fabry, D.C.; Heddrich, S.; Sugiono, E.; Liauw, M.A.; Rueping, Magnus

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Type

Article

Authors

Poscharny, K.
Fabry, D.C.
Heddrich, S.
Sugiono, E.
Liauw, M.A.
Rueping, Magnus

KAUST Department

Chemical Science Program
KAUST Catalysis Center (KCC)
Physical Science and Engineering (PSE) Division

Date

2018-04-07

Online Publication Date

2018-04-07

Print Publication Date

2018-06

Permanent link to this record

http://hdl.handle.net/10754/627521

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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.