Decarbonylative borylation of carboxylic acids is reported. Carbon electrophiles are generated directly after reagent‐enabled decarbonylation of the in situ accessible sterically‐hindered acyl derivative of a carboxylic acid under catalyst controlled conditions. The scope and the potential impact of this method are demonstrated in the selective borylation of a variety of aromatics (>50 examples). This strategy was used in the late‐stage derivatization of pharmaceuticals and natural products. Computations reveal the mechanistic details of the unprecedented C−O bond activation of carboxylic acids. By circumventing the challenging decarboxylation, this strategy provides a general synthetic platform to access arylpalladium species for a wide array of bond formations from abundant carboxylic acids. The study shows a powerful combination of experiment and computation to predict decarbonylation selectivity.
- Award ID(s):
- 1650766
- PAR ID:
- 10090790
- Date Published:
- Journal Name:
- Organic Chemistry Frontiers
- Volume:
- 5
- Issue:
- 16
- ISSN:
- 2052-4129
- Page Range / eLocation ID:
- 2515 to 2521
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract Decarbonylative borylation of carboxylic acids is reported. Carbon electrophiles are generated directly after reagent‐enabled decarbonylation of the in situ accessible sterically‐hindered acyl derivative of a carboxylic acid under catalyst controlled conditions. The scope and the potential impact of this method are demonstrated in the selective borylation of a variety of aromatics (>50 examples). This strategy was used in the late‐stage derivatization of pharmaceuticals and natural products. Computations reveal the mechanistic details of the unprecedented C−O bond activation of carboxylic acids. By circumventing the challenging decarboxylation, this strategy provides a general synthetic platform to access arylpalladium species for a wide array of bond formations from abundant carboxylic acids. The study shows a powerful combination of experiment and computation to predict decarbonylation selectivity.
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