Systematic Parameter Determination Aimed at a Catalyst-Controlled Asymmetric Rh(I)-Catalyzed Pauson–Khand Reaction
Year: 2024
Type: article
Abstract: ABSTRACT: Transition metal-catalyzed carbocyclization reactions have revolutionized the synthesis of complex cyclic organic compounds. Yet, subtle substrate changes can significantly alter reaction pathways. The asymmetric Rh(I)-catalyzed Pauson-Khand reaction (PKR) exemplifies such a reaction, being hindered by a narrow substrate scope and competing reactivity modes. In this study, we identified parameters predictive of yield and enantioselectivity in the catalyst-controlled asymmetric PKR, using 1,6-enynes with a 2,2-disubstituted alkene. In this way, ring-fused cyclopentenones can be formed with chiral quaternary carbon centers. Using bisphosphine ligand parameters from palladium complexes, including HOMO energy and the angle formed by the phosphorous aryl groups on the ligand, we established strong correlations with experimental % ee (R2=0.94 and 0.98) for two distinct precursors. Solvent dipole moments correlated with % ee for high dipole moment precursors (R2=0.97), while Abraham’s hydrogen bond basicity is more relevant for low dipole moment precursors (R2=0.93). Additionally, counterions were found to have a significant impact on PKR reactivity and selectivity, as does the steric demand of the alkyne substituent of the enyne precursor. In the latter case, %ee correlates with Sterimol B1 values for products with different alkyne substituents (R2=0.96). Furthermore, the computed C≡C wavenumber of the enyne precursor can be directly aligned with the yield of the asymmetric PKR.
Source: ACS Catalysis
Institution: University of Pittsburgh
Language: English
Subfield: Organic Chemistry
Field: Chemistry
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,500
Awards: G1309160875, G1370689234, G1695831621, G3384453195, G3462723596, G5070620238, Category I. Computing without Boundaries: Cyberinfrastructure for the Long Tail of Science, MRI: Acquisition of Cutting-Edge GPU and MPI Nodes for the Interdisciplinary Pitt Center for Research Computing, G6526510738, Category I: Bridges-2: Scalable Converged Computing, Data, and Analytics for Rapidly Evolving Science and Engineering Research
OpenAlex ID: W4404054934
