Machine assisted reaction optimization: A self-optimizing reactor system for continuous-flow photochemical reactions
KAUST DepartmentChemical Science Program
KAUST Catalysis Center (KCC)
Physical Science and Engineering (PSE) Division
Online Publication Date2018-04-07
Print Publication Date2018-06
Permanent link to this recordhttp://hdl.handle.net/10754/627521
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AbstractA 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.
CitationPoscharny 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.
SponsorsTechnical 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).