Skip to main navigation Skip to search Skip to main content

Diversity of the nature of the nitrogen-oxygen bond in inorganic and organic nitrites in the light of topological analysis of electron localisation function (ELF)

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    The electronic structure of nitrite group (–ONO) has been studied for 21 inorganic and organic nitrites using topological analysis of Electron Localisation Function (ELF) for the DFT(B2PLYP)/aug-cc-pVTZ and DFT(B3LYP)/aug-cc-pVTZ optimised geometrical structures. The N–O bonds exhibit populations smaller than 2e, thus including the N+O−, N−O+ Lewis-type structures in the description of electron density delocalisation is of great importance. The main focus of the ELF analysis was formally single N–O bond in the nitrite group (–O–NO). The results have yielded four different types of local topology: (a) single local maximum V(N,O) with the disynaptic bonding basin, (b) two local maxima V(N), V(O) with monosynaptic non-bonding basins, (c) single local maximum V(N) with monosynaptic non-bonding basin, (d) absence of the local maxima in the N–O bond. Analysis of relationships between basin population values, calculated for the V(N,O), V(N) and V(O) basins, and the N–O bond length, has shown overall trends that can be qualitatively described by the catastrophe theory.
    Original languageEnglish
    Title of host publicationApplications of Topological Methods in Molecular Chemistry
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages529-551
    ISBN (Print)9783319290201
    DOIs
    Publication statusPublished - 20 Apr 2016

    Keywords

    • Anti conformer
    • Basin population
    • Electron localisation function
    • Peroxynitrous acid
    • Topological analysis

    Fingerprint

    Dive into the research topics of 'Diversity of the nature of the nitrogen-oxygen bond in inorganic and organic nitrites in the light of topological analysis of electron localisation function (ELF)'. Together they form a unique fingerprint.

    Cite this