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DOI 10.1016/j.jmgm.2025.109099

Медицинская библиотека · Journal of molecular graphics & modelling · 2025

Unveiling the chlorinated aliphatic hydrocarbon contaminants sensing properties of the biphenylene network through DFT calculations.

García-Hernández Erwin

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Biphenylene, a recently synthesized graphene allotrope, has demonstrated potential for pollutant adsorption and sensing applications. In this study, we investigate the interactions between biphenylene and three chlorinated aliphatic hydrocarbons: dichloroethylene, trichloromethane, and tetrachloroethylene, utilizing density functional theory calculations. Geometrical analysis shows that all complexes exhibit interaction distances above 3.3 Å, indicating physisorption governed by van der Waals forces. The complex with tetrachloroethylene exhibits the strongest interaction (adsorption energy of -0.48 eV) due to π-π stacking, while the systems with trichloromethane and dichloroethylene exhibit weaker adsorption (-0.30 eV and -0.35 eV, respectively). Solvent effects slightly diminish adsorption stability by up to ∼6 %. Electronic analysis reveals that biphenylene retains its intrinsic properties upon complexation, with minimal changes in the HOMO-LUMO gap (1.00 eV) and chemical potential (-3.92 eV). However, the dipole moment increases significantly (up to 1.40 D for the trichloromethane complex), enhancing solubility. Rapid recovery times for the complexes with trichloromethane (1.33 × 10-7 s) and dichloroethylene (8.41 × 10-7 s) suggest excellent sensing capabilities, while the tetrachloroethylene system's longer desorption time (1.42 × 10-4 s) indicates potential for pollutant adsorption. These findings highlight biphenylene as a promising material for environmental applications, including the sensing and removal of chlorinated pollutants.

Для цитирования: García-Hernández Erwin. Unveiling the chlorinated aliphatic hydrocarbon contaminants sensing properties of the biphenylene network through DFT calculations.. Journal of molecular graphics & modelling. 2025. DOI: 10.1016/j.jmgm.2025.109099.

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