Theoretical analysis of the uptake of CO, CO2, and NO2 on pristine and BN-doped carbon nanocones

Optimizing predictive models for evaluating the F-temperature index in predicting the π-electron energy of polycyclic hydrocarbons, applicable to carbon nanocones

In the fields of mathematics, chemistry, and the physical sciences, graph theory plays a substantial role. Using modern mathematical techniques, quantitative structure-property relationship (QSPR) modeling predicts the physical, synthetic, and natural properties of substances based only on their chemical composition. For a chemical graph, the temperature of a vertex is a local property introduced by Fajtlowicz (1988). A temperature-based graphical descriptor is structured based on temperatures of vertices. Involving a non-zero real parameter β , the general F-temperature index T β is a temperature index having strong efficacy. In this paper, we employ discrete optimization and regression analysis to find optimal value(s) of β for which the prediction potential of T β and the total π -electron energy E π of polycyclic hydrocarbons is the strongest. This, in turn, answers an open problem proposed by Hayat & Liu (2024). Applications of the optimal values for T β are presented a two-parametric family of carbon nanocones in predicting their E π with significantly higher accuracy.

Insights on α-Glucose Biosensors/Carriers Based on Boron-Nitride Nanomaterials from an Atomistic and Electronic Point of View

The interaction of α-glucose with a BN-nanosheet, BN-nanotube, and BN-fullerene, was analyzed from an atomistic and electronic point of view, to evaluate such nanostructures as possible carriers and/or biosensors of the α-glucose molecule. Adsorption energies are in the range of physisorption (-0.79 eV to -0.91 eV) for the BN-nanosheet and -nanotube, and chemisorption (-2.24 eV to -2.35 eV), for the BN-fullerene. All systems, exhibit semiconductor-like behavior and great stability according to |LUMO-HOMO| energy gap [Gap_LH ] and chemical potential values, respectively. For the BN-nanosheet and -nanotube, the stabilization of the complexes is through hydrogen bonds, while for BN-fullerene is through a covalent bond and charge transfer. Furthermore, the BN-fullerene is able to dissociate the α-glucose molecule, which could help to decomposer such a compound, and be used for biological applications. The data taking into consideration solvent effects have no significant impact with respect to gas phase, except in the dipole moment (M_d ) where we noticed an increase up to ∼45 %. Our results suggest that BN-nanosheet and -nanotube, may act as biosensors, while BN-fullerene, may serve as a carrier or degrader of the α-glucose molecule.

First-principle investigation of CO, CH4, and CO2 adsorption on Cr-doped graphene-like hexagonal borophene

It is important for life safety and scientific research to design new sensing materials for detecting CO, CH₄, and CO₂ from the environment. We theoretically designed a new Cr-doped graphene-like hexagonal borophene (CrB₆) as potential sensor material for these gases. Carrying out first-principle density-functional calculations, we calculated the adsorption energy, band structure, adsorption distance, charge transfer, charge density difference, density of states, and partial density of states of CO, CH₄, and CO₂ gas molecules absorbed on CrB₆ monolayer. The calculated results show that the adsorption behavior of CO is different from those of CH₄ and CO₂. CO adsorbed on CrB₆ monolayer prefers chemisorption with the adsorption energy of - 2.59 eV while CH₄ and CO₂ adsorbed on CrB₆ monolayer prefer physisorption with the adsorption energy of - 0.72 and - 0.69 eV. As a result, the different adsorption behaviors have significant influence on the band structures and density of states of CrB₆ monolayer. We hope that our results can help experimentalists synthesize better sensor materials based on hexagonal borophene.