Switchable Diastereoselectivity in the Fluoride Promoted Vinylogous Mukaiyama-Michael Reaction of 2-Trimethylsilyloxyfuran Catalyzed by Crown Ethers

Giorgio Della Sala, Marina Sicignano, Rosaria Schettini, Francesco De Riccardis, Luigi Cavallo, Yury Minenkov, Chloé Batisse, Gilles Hanquet, Frederic Leroux, Irene IZZO

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The fluoride promoted vinylogous Mukaiyama-Michael reaction (VMMR) of 2-trimethylsilyloxyfuran with diverse α,β-unsaturated ketones is described. The TBAF catalyzed VMMR afforded high anti-diastereoselectivity irrespective of the solvents used. The KF/crown ethers catalytic systems proved to be highly efficient in terms of yields and resulted in a highly diastereoselective unprecedented solvent/catalyst switchable reaction. Anti-adducts were obtained as single diastereomers or with excellent diastereoselectivities when benzo-15-crown-5 in CH2Cl2 was employed. On the other hand, high syn-diastereoselectivities (from 76:24 to 96:4) were achieved by employing dicyclohexane-18-crown-6 in toluene. Based on DFT calculations, the catalysts/solvents-dependent switchable diastereoselectivities are proposed to be the result of loose or tight cation-dienolate ion pairs.
Original languageEnglish (US)
Pages (from-to)6629-6637
Number of pages9
JournalThe Journal of Organic Chemistry
Volume82
Issue number13
DOIs
StatePublished - Jun 13 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Financial support from the University of Salerno (FARB) and Regione Campania under POR Campania FESR 2007-2013 – O.O. 2.1 (Farma-BioNet). We thank Dr. Patrizia Iannece for HRMS. Gilles Hanquet and Frédéric Leroux thank the CNRS (Centre National de la Recherche Scientifique, France). Chloé Batisse is very grateful to the IcFRC (International Center for Frontier Research in Chemistry), grant Cyclo-CF2-ASYM. Luigi Cavallo thanks the King Abdullah University of Science and technology for supporting this work. Computing resources used within this project have been provided by the KAUST Supercomputing Laboratory and by CRESCO/ENEAGRID High Performance Computing infrastructure and its staff.

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