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Computational Study of 3d Metals and Their Influence on the Acidity of Methane C–H Bonds
[Image: see text] CCSD(T) methods in conjunction with correlation consistent basis sets are used to predict the pK(a) for the deprotonation of methane in a 3d metal ion adduct, [M···CH(4)](+) (M = Sc–Cu), in dimethyl sulfoxide solvent, which is modeled by the SMD continuum solvent model. Results sho...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6893961/ https://www.ncbi.nlm.nih.gov/pubmed/31815216 http://dx.doi.org/10.1021/acsomega.9b02038 |
Sumario: | [Image: see text] CCSD(T) methods in conjunction with correlation consistent basis sets are used to predict the pK(a) for the deprotonation of methane in a 3d metal ion adduct, [M···CH(4)](+) (M = Sc–Cu), in dimethyl sulfoxide solvent, which is modeled by the SMD continuum solvent model. Results show that the coordination of methane to different M(+) ions has a substantial difference of ∼27 pK(a) units, from most to least acidic, and increases the acidity of the methane C–H bond from ∼8 to 36 pK(a) units. Furthermore, even with the omission of the more expensive quadruple and quintuple zeta basis sets in the prediction process, similar trends in pK(a)(C–H) as a function of 3d metal ions are exhibited. This research serves to illustrate the substantial effect that metal ion identity has on the acidity of a coordinated hydrocarbon and the utility that correlation consistent basis sets have in lowering the computational cost of modeling larger systems. |
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