1. Mechanistic Aspects on [3+2] Cycloaddition (32CA) Reactions of Azides to Nitroolefins: A Computational and Kinetic Study
- Author
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Meire Y. Kawamura, Juan V. Alegre‐Requena, Thaís M. Barbosa, Cláudio F. Tormena, Robert S. Paton, Marco A. B. Ferreira, National Science Foundation (US), University of Colorado, Extreme Science and Engineering Discovery Environment (US), Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), Fundação de Amparo à Pesquisa do Estado de São Paulo, and Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil)
- Subjects
Organic Chemistry ,General Chemistry ,Catalysis - Abstract
[3+2] cycloadditions of nitroolefins have emerged as a selective and catalyst-free alternative for the synthesis of 1,2,3-triazoles from azides. We describe mechanistic studies into the cycloaddition/rearomatization reaction sequence. DFT calculations revealed a rate-limiting cycloaddition step proceeding via an asynchronous TS with high kinetic selectivity for the 1,5-triazole. Kinetic studies reveal a second-order rate law, and 13C kinetic isotopic effects at natural abundance were measured with a significant normal effect at the conjugated olefinic centers of 1.0158 and 1.0216 at the α and β-carbons of β-nitrostyrene. Distortion/interaction-activation strain and energy decomposition analyses revealed that the major regioisomeric pathway benefits from an earlier and less-distorted TS, while intermolecular interaction terms dominate the preference for 1,5- over 1,4-cycloadducts. In addition, the major regioisomer also has more favorable electrostatic and dispersion terms. Additionally, while static DFT calculations suggest a concerted but highly asynchronous Ei-type HNO2 elimination mechanism, quasiclassical direct-dynamics calculations reveal the existence of a dynamic intermediate., R.S.P. acknowledges support from the NSF (CHE-1955876) and computational resources from the RMACC Summit supercomputer supported by the National Science Foundation (ACI-1532235 and ACI-1532236), the University of Colorado Boulder and Colorado State University, and the Extreme Science and Engineering Discovery Environment (XSEDE) through allocation TG-CHE180056. J.V.A.-R. acknowledges support from XSEDE through allocation TG-CHE200033. J.V.A.R. acknowledges financial support through a Juan de la Cierva Incorporación contract from the Ministry of Science and Innovation (MCIN) and the State Research Agency (AEI) of Spain, and the European Union (NextGenerationEU/PRTR) under grant reference IJC2020-044217-I. M.A.B.F., C.F.T., and M.Y.K. are grateful to CNPq (405052/2021-9) and FAPESP (17/01754-0, 20/10246-0, and 20/01255-6) for financial support. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.
- Published
- 2022