5th International solar fuels - Poster presentations

Compartmentalised carbonylation cascade initiated by photocatalytic CO 2 reduction Sampurna Mitra , David Vahey, Shannon A. Bonke, Erwin Reisner Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge CB2 1EW, UK Photocatalytic CO 2 reduction is a sustainable approach to produce CO, which is an important platform molecule to synthesise many important chemicals. Utilisation of CO 2 as a carbon source in the production of complex chemicals mimics photosynthesis and produces high-value products. Herein, we demonstrate a biomimetic reaction cascade of photocatalytic CO 2 reduction followed by carbonylation reactions that directly use the in situ generated CO. Solvent layering is used to create separated environments for CO 2 reduction and carbonylation reactions, enabling photocatalytic CO 2 reduction in aqueous media that produces CO, which moves into the more buoyant toluene layer wherein it is utilised in Pd-catalysed Buchwald-Hartwig aminocarbonylation, Sonogashira alkyne coupling, and carbonylative Suzuki coupling. The aqueous CO 2 to CO conversion is enabled by water-soluble cobalt porphyrins paired with either ruthenium or copper dyes, while the organic layer utilises a Pd-Xantphos carbonylation catalyst to produce a variety of products in good yields (70%). Sonogashira and carbonylative Suzuki couplings are demonstrated alongside the synthesis of a pharmaceutical (Itopride). This work represents the first photocatalytic cascade for the direct utilisation of CO 2 as a carbon source for pharmaceutical production, enabled by biomimetic reaction compartmentalisation.

References 1. Dalle, K. E.; Warnan, J.; Leung, J. J.; Reuillard, B.; Karmel, I. S.; Reisner, E. Electro- and Solar-Driven Fuel Synthesis with First Row Transition Metal Complexes. Chem. Rev. 2019, 119 (4), 2752–2875. 2. Bonke, S. A.; Trezza, G.; Bergamasco, L.; Song, H.; Rodríguez-Jiménez, S.; Hammarström, L.; Chiavazzo, E.; Reisner, E. Multi-Variable Multi-Metric Optimization of Self-Assembled Photocatalytic CO2 Reduction Performance Using Machine Learning Algorithms. J. Am. Chem. Soc. 2024, 146 (22), 15648–15658. 3. Jensen, M. T.; Rønne, M. H.; Ravn, A. K.; Juhl, R. W.; Nielsen, D. U.; Hu, X.-M.; Pedersen, S. U.; Daasbjerg, K.; Skrydstrup, T. Scalable Carbon Dioxide Electroreduction Coupled to Carbonylation Chemistry. Nat. Commun. 2017, 8 (1), 489.

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