Machine assisted reaction optimization: A self-optimizing reactor system for continuous-flow photochemical reactions
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Type
ArticleKAUST Department
Chemical Science ProgramKAUST Catalysis Center (KCC)
Physical Science and Engineering (PSE) Division
Date
2018-04-07Online Publication Date
2018-04-07Print Publication Date
2018-06Permanent link to this record
http://hdl.handle.net/10754/627521
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Show full item recordAbstract
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 BVJournal
TetrahedronAdditional Links
http://www.sciencedirect.com/science/article/pii/S0040402018303983ae974a485f413a2113503eed53cd6c53
10.1016/j.tet.2018.04.019