Abstract
Single-atom skeletal editing via selective oxygen deletion from diarylethers remains an underdeveloped transformation, despite its potential to directly access new carbon frameworks. Here, we report a boron- and aluminium-mediated O-deletion reaction that converts xanthene and diphenylether motifs into fluorene and biphenyl architectures through concomitant C–C bond formation. Lithium metal reduction of diamido arylether boron halides affords lithium boryloxy complexes in high yield and on a multigram scale, with both the new C–C bond and terminal B–O − unit formed in a single step via a transient open-shell B(ii) intermediate. Hydrolysis furnishes fluorene- and biphenyl-based [1,3,2]diazaborepin-2-ols, representing previously inaccessible boron-containing fluorophores that exhibit high photoluminescence quantum yields. Extension of this strategy to aluminium allows clean hydrolytic release of the organic scaffold and provides a concise, scalable synthesis of functionalised 4,5-diaminofluorenes. These results establish O-deletion as a viable skeletal editing strategy for arylethers and highlight the role of main-group radical intermediates in selective framework reorganisation.
| Original language | English |
|---|---|
| Journal | Chemical Science |
| Early online date | 20 Apr 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 20 Apr 2026 |
Data Availability Statement
CCDC 2514982–2514992 and 2515042 contain the supplementary crystallographic data for this paper.44a–lThe data supporting this article have been included as part of the supplementary information (SI). Supplementary information: synthetic and characterisation data, including those for crystallographic, EPR, photophysical and computational studies. See DOI: https://doi.org/10.1039/d6sc01056c.
Funding
JH would like to thank the Australian Research Council (FT240100229) for the funding of this work. This research was undertaken with the assistance of resources from the National Computational Infrastructure (NCI Australia), an NCRIS enabled capability supported by the Australian Government, and the University of Bath's Research Computing Group (https://doi.org/10.15125/b6cd-s854) for their support of this work.
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