Accurate Prediction of Adiabatic Ionization Energies for PAHs and Substituted Analogues.
Jérémy BourgalaisXavier MercierMuneerah Mogren Al-MogrenMajdi HochlafPublished in: The journal of physical chemistry. A (2023)
The accurate calculation of adiabatic ionization energies (AIEs) for polycyclic aromatic hydrocarbons (PAHs) and their substituted analogues is essential for understanding their electronic properties, reactivity, stability, and environmental/health implications. This study demonstrates that the M06-2X density functional theory method excels in predicting the AIEs of polycyclic aromatic hydrocarbons and related molecules, rivaling the (R)CCSD(T)-F12 method in terms of accuracy. These findings suggest that M06-2X, coupled with an appropriate basis set, represents a reliable and efficient method for studying polycyclic aromatic hydrocarbons and related molecules, aligning well with the experimental techniques. The set of molecules examined in this work encompasses numerous polycyclic aromatic hydrocarbons from m / z 67 up to m / z 1,176, containing heteroatoms that may be found in biofuels or nucleic acid bases, making the results highly relevant for photoionization experiments and mass spectrometry. For coronene-derivative molecular species with the C 6 n 2 H 6 n chemical formula, we give an expression to predict their AIEs (AIE ( n ) = 4.359 + 4.8743 n -0.72057 , in eV) upon extending the π-aromatic cloud until reaching graphene. In the long term, the application of this method is anticipated to contribute to a deeper understanding of the relationships between PAHs and graphene, guiding research in materials science and electronic applications and serving as a valuable tool for validating theoretical calculation methods.
Keyphrases
- polycyclic aromatic hydrocarbons
- density functional theory
- molecular docking
- mass spectrometry
- nucleic acid
- public health
- healthcare
- molecular dynamics
- high resolution
- poor prognosis
- gas chromatography
- mental health
- climate change
- liquid chromatography
- carbon nanotubes
- room temperature
- binding protein
- structure activity relationship
- drug induced