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Development and Molecular Understanding of a Pd‐Catalyzed Cyanation of Aryl Boronic Acids Enabled by High‐Throughput Experimentation and Data Analysis

Jordan De Jesus Silva, Niccolò Bartalucci, Benson J. Jelier, Samantha Grosslight, Tobias Gensch, Claas Schünemann, Bernd Müller, Paul C. J. Kamer, Christophe Copéret, Matthew S. Sigman, Antonio Togni

2021Helvetica Chimica Acta13 citationsDOIOpen Access PDF

Abstract

Abstract A synthetic method for the palladium‐catalyzed cyanation of aryl boronic acids using bench stable and non‐toxic N ‐cyanosuccinimide has been developed. High‐throughput experimentation facilitated the screen of 90 different ligands and the resultant statistical data analysis identified that ligand σ‐donation, π‐acidity and sterics are key drivers that govern yield. Categorization into three ligand groups – monophosphines, bisphosphines and miscellaneous – was performed before the analysis. For the monophosphines, the yield of the reaction increases for strong σ‐donating, weak π‐accepting ligands, with flexible pendant substituents. For the bisphosphines, the yield predominantly correlates with ligand lability. The applicability of the designed reaction to a wider substrate scope was investigated, showing good functional group tolerance in particular with boronic acids bearing electron‐withdrawing substituents. This work outlines the development of a novel reaction, coupled with a fast and efficient workflow to gain understanding of the optimal ligand properties for the design of improved palladium cross‐coupling catalysts.

Topics & Concepts

ChemistryCyanationLigand (biochemistry)ArylYield (engineering)PalladiumCombinatorial chemistryCatalysisBoronic acidSubstrate (aquarium)Steric effectsOrganic chemistryReceptorBiochemistryMaterials scienceGeologyAlkylOceanographyMetallurgyCatalytic Cross-Coupling ReactionsCatalytic C–H Functionalization MethodsAsymmetric Hydrogenation and Catalysis
Development and Molecular Understanding of a Pd‐Catalyzed Cyanation of Aryl Boronic Acids Enabled by High‐Throughput Experimentation and Data Analysis | Litcius