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    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
    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.
    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
    DOI
    10.1016/j.tet.2018.04.019
    Additional Links
    http://www.sciencedirect.com/science/article/pii/S0040402018303983
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.tet.2018.04.019
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Chemical Science Program; KAUST Catalysis Center (KCC)

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