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Understanding the Exceptional Properties of Nitroacetamides in Water: A Computational Model Including the Solvent.
La Penna, Giovanni; Machetti, Fabrizio.
Afiliación
  • La Penna G; Istituto di Chimica dei Composti Organometallici (ICCOM), Consiglio Nazionale delle Ricerche (CNR), via Madonna Del Piano 10, I-50019 Sesto Fiorentino, Firenze, Italy. glapenna@iccom.cnr.it.
  • Machetti F; Istituto di Chimica dei Composti Organometallici (ICCOM), Consiglio Nazionale delle Ricerche (CNR), c/o Dipartimento di Chimica "Ugo Schiff" via Della Lastruccia 13, I-50019 Sesto Fiorentino, Firenze, Italy. fabrizio.machetti@unifi.it.
Molecules ; 23(12)2018 Dec 13.
Article en En | MEDLINE | ID: mdl-30551625
Proton transfer in water involving C⁻H bonds is a challenge and nitro compounds have been studied for many years as good examples. The effect of substituents on acidity of protons geminal to the nitro group is exploited here with new p K a measurements and electronic structure models, the latter including explicit water environment. Substituents with the amide moiety display an exceptional combination of acidity and solubility in water. In order to find a rationale for the unexpected p K a changes in the (ZZ ' )NCO- substituents, we measured and modeled the p K a with Z=Z ' =H and Z=Z ' =methyl. The dominant contribution to the observed p K a can be understood with advanced computational experiments, where the geminal proton is smoothly moved to the solvent bath. These models, mostly based on density-functional theory (DFT), include the explicit solvent (water) and statistical thermal fluctuations. As a first approximation, the change of p K a can be correlated with the average energy difference between the two tautomeric forms (aci and nitro, respectively). The contribution of the solvent molecules interacting with the solute to the proton transfer mechanism is made evident.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Solventes / Simulación por Computador / Agua / Amidas Tipo de estudio: Prognostic_studies Idioma: En Revista: Molecules Asunto de la revista: BIOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Solventes / Simulación por Computador / Agua / Amidas Tipo de estudio: Prognostic_studies Idioma: En Revista: Molecules Asunto de la revista: BIOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza