Quantitative Reactivity Models for Oxidative Addition to L <sub>2</sub> Pd(0): Additional Substrate Classes, Solvents, and Mechanistic Insights

Quantitative molecular structure-reactivity models are useful for generating predictions to guide synthesis design, and in formulating and testing mechanistic hypotheses. We report an expanded multivariate linear regression (MLR) model for the rate of (hetero)aryl (pseudo)halide oxidative addition to L<sub>2</sub>Pd(0), here exemplified by Pd(PCy<sub>3</sub>)<sub>2</sub>. This builds on a prior model from our group, with additional substrate classes (aryl chlorides and iodides) and reaction solvents (THF, toluene, THF/DMF mixture). Overall solvent effects across the entire substrate set are minimal under these conditions, enabling a unified MLR model without introduction of new molecular descriptors beyond the original five. Examining the mechanistic origin of the two molecular electrostatic potential (ESP) descriptors led to generation of a simpler, four descriptor model that is suitable for aryl halides, but not for 2-halopyridines. Using this model we identified a mechanistic outlier, 2-pyridyl triflate, which undergoes a nucleophilic displacement oxidative addition that does not involve the adjacent nitrogen atom. Finally, we discuss the relationship between C-X bond strength and oxidative addition rates, and compare the intrinsic bond strength index (IBSI) to bond dissociation enthalpy (BDE) as a bond strength descriptor.

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Publication Details

Journal
Chemistry - A European Journal
Published
2024-08-19
DOI
https://doi.org/10.1002/chem.202402282
Citations
6
Primary Topic
Radical Photochemical Reactions
Type
article
Field-Weighted Citation Impact
1.50

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article

Quantitative Reactivity Models for Oxidative Addition to L 2 Pd(0): Additional Substrate Classes, Solvents, and Mechanistic Insights

Irina Paci, David C. Leitch, Jingru Lu, Holly Celuszak
6 citations
Chemistry - A European Journal
Radical Photochemical Reactions
1.50
article

Quantitative Reactivity Models for Oxidative Addition to L 2 Pd(0): Additional Substrate Classes, Solvents, and Mechanistic Insights

Irina Paci, David C. Leitch, Jingru Lu, Holly Celuszak
article en
6 citations

Abstract

Quantitative molecular structure-reactivity models are useful for generating predictions to guide synthesis design, and in formulating and testing mechanistic hypotheses. We report an expanded multivariate linear regression (MLR) model for the rate of (hetero)aryl (pseudo)halide oxidative addition to L<sub>2</sub>Pd(0), here exemplified by Pd(PCy<sub>3</sub>)<sub>2</sub>. This builds on a prior model from our group, with additional substrate classes (aryl chlorides and iodides) and reaction solvents (THF, toluene, THF/DMF mixture). Overall solvent effects across the entire substrate set are minimal under these conditions, enabling a unified MLR model without introduction of new molecular descriptors beyond the original five. Examining the mechanistic origin of the two molecular electrostatic potential (ESP) descriptors led to generation of a simpler, four descriptor model that is suitable for aryl halides, but not for 2-halopyridines. Using this model we identified a mechanistic outlier, 2-pyridyl triflate, which undergoes a nucleophilic displacement oxidative addition that does not involve the adjacent nitrogen atom. Finally, we discuss the relationship between C-X bond strength and oxidative addition rates, and compare the intrinsic bond strength index (IBSI) to bond dissociation enthalpy (BDE) as a bond strength descriptor.

Chemistry - A European JournalVol. 30(62)
University of Victoria (CA)
Research Corporation for Science Advancement, Natural Sciences and Engineering Research Council of Canada
Clean water and sanitation
Openalex Percentile: Top 19%
Radical Photochemical Reactions
1.50
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Quantitative Reactivity Models for Oxidative Addition to L <sub>2</sub> Pd(0): Additional Substrate Classes, Solvents, and Mechanistic Insights — Irina Paci, David C. Leitch, et al. · Chemistry - A European Journal (2024) | TGRS Research Map | TGRS