Solvent influence on intramolecular interactions and aromaticity in meta and para nitroanilines

• Published in: Structural chemistry Vol. 31; no. 5; pp. 1717 - 1728
• Main Authors: Zborowski, Krzysztof K., Szatyłowicz, Halina, Krygowski, Tadeusz M.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-10-2020; Springer Nature B.V
• Subjects: Aniline; Aromaticity; Chemistry; Chemistry and Materials Science; Clusters; Computer Applications in Chemistry; Density functional theory; Electronic structure; Harmonic oscillators; Hydrogen bonding; Nitrobenzene; Original Research; Physical Chemistry; Solvation; Solvents; Theoretical and Computational Chemistry; Theoretical density; Water chemistry; Substituent effect; Water environment; Theoretical calculations; Benzene derivatives; Charge of the substituent active region
• ISSN: 1040-0400; 1572-9001
• DOI: 10.1007/s11224-020-01582-0

Theoretical density functional theory (B3LYP/6-31G**) was used to study the intra- and intermolecular interactions of nitrobenzene, aniline, and meta and para nitroaniline in various solvation models. The studied molecules were solvated by one or two water molecules in the presence of continuum solvation (the
PCM
model) or without it. Finally, the studied molecules were surrounded by a cluster of water molecules. For comparison, calculations were also made for separated molecules. Geometries, energies, hydrogen bonding between solutes and solvent molecules, atomic charges, and aromaticity were examined. The analysis was based on the Atoms in Molecules methodology and the Harmonic Oscillator Model of Aromaticity (HOMA) index. As a result, an extensive description of the solvation of nitro and amino groups and the effect of solvation on mutual interactions between these groups in meta and para nitroanilines is provided. It was found that in general, the
PCM
description of the hydration effect on the electronic structure of the studied systems (substituents) is consistent with the approach taking into account all individual interactions (cluster model).