Quantitative prediction of the absorption maxima of azobenzene dyes from bond lengths and critical points in the electron density

Literature Information

Publication Date 2007-02-26
DOI 10.1039/B617470A
Impact Factor 3.676
Authors

Bård Buttingsrud, Bjørn K. Alsberg, Per-Olof Åstrand


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Abstract

The relationship between the molecular electronic structure and the position of the absorption maxima in 191 azobenzene dyes has been studied by quantitative structure–property relations. A strong linearity is observed between the nitrogen–nitrogen bond length and the absorption wavelength with a squared correlation coefficient of 0.90. Bond lengths and properties of the critical points located on the electron density distribution are used to build partial least squares regression models for quantitative prediction of absorption wavelengths. Fifty of the azobenzene dyes were used as an external test set to evaluate the overall performance of the models. The simplest model where only the nitrogen–nitrogen bond length is used as a descriptor gives a root mean square error of prediction of 12.6 nm. When the value, laplacian and ellipticity of the electron density in all comparable bond critical points are used, the error of prediction is reduced to 5.4 nm. However, this model is less general and robust to prediction of novel molecular structures. It is demonstrated that the nitrogen–nitrogen bond in the azobenzene compounds relates to the colour of the dyes and in particular the nitrogen–nitrogen bond length plays a central role.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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