5 research outputs found

    Investigation of the site-specific binding interactions and sensitivity of ochratoxin with aluminum nitride (Al12N12) nanoclusters. An intuition from Quantum Chemical Calculations

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    Density functional theory (DFT) computing was used in this study to examine the feasibility for detecting the interaction of nitrogen ([email protected]), oxygen ([email protected]), and chlorine ([email protected]) with the surface of an aluminum nitride (Al12N12) nanocluster. The DFT/PBE0-D3/aug-cc-pVDZ approach was heavily utilised in the computations of the quantum electronic structural characteristics, interaction energies, and sensing parameters. Fascinatingly, the results showed that [email protected], with a value of 2.04 eV, possessed a higher energy gap, making it the most stable among the spatial orientations. Meanwhile, [email protected] had the lowest energy gap of 1.55 eV, making it the least stable and more reactive compound. More so, the natural bond analysis (NBO) analysis indicated that [email protected] has the highest energy of perturbation among adsorption atoms. However, a decrement was observed in the energy value for [email protected], [email protected], and [email protected] with energy values of 1.55, 1.82, and 2.04 eV, respectively, compared to the energy gap value of 2.37 eV of the Al12N12 nanocluster. Also, the adsorption study showed that [email protected] interaction had the greatest negative adsorption energy of -2.466 eV and thus, possesses the fastest recovery time of 3.3E-158 s. The recovery time for [email protected] was 1.6E-156 s, and the least responsive was [email protected] with a recovery time of 1.94E-86. [email protected] indicated the fastest response with a time of 1.616 s, followed by 1.757 s for [email protected], and the least responsive was [email protected] with 1.881 s. Thus, it can be inferred that [email protected] is the most preferred spatial orientation and interaction site of ochratoxin upon interaction with the AlN surface due to its high adsorption energy, stability, perturbation energy, and recovery time. Using the aforementioned method, this study provides valuable insights into the interactions of Ochra with the AlN surface and its potential as a sensing material

    Functionalized boron doped graphene (BGP) as smart nanocarrier for delivery of hydroxyurea (HU) drug

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    The concerning toxicity associated with hydroxyurea (HU), an anticancer drug used in cancer treatment, has spurred significant attention within the research community over the years. To address this adverse effect, there is a critical need for a smart and targeted drug delivery system (Nano carrier) that can effectively deliver the drug to the tumor site while minimizing side effects for the patient. In this study, we employed density functional theory computations at (DFT)/ωB97XD/6–311++G (d, p) level of theory to evaluate the adsorption properties of functionalized boron-doped graphene (BGP) surfaces, namely COOH@BGP, NH2@BGP, and OH@BGP, for the delivery of the HU anticancer drug. The electronic properties analysis revealed that COOH@BGP/HXU (M2) exhibited the most favorable reactivity with an energy gap value of 5.3756 eV, making it the most reactive surface compared to other complexes investigated. Moreover, a comprehensive natural bond orbital analysis was conducted to investigate hyper-conjugative effects, hybridization, charge transfer, and H-bonding interactions within the systems studied. The results confirmed the following trend: HXU-COOH@BGP (M2) > HXU-OH@BGP (K2) > HXU-NH2@BGP (Q2). Additionally, topological analysis (QTAIM) and Non-covalent interaction (NCI) analysis were performed to ascertain the interaction forces at play. The results strongly support the significant electrostatic force of interaction in the M2 complex, suggesting the presence of hydrogen bond interactions that facilitate the doped surface's ability to bind with HXU and enhance the smooth delivery of the investigated drug. Furthermore, the adsorption studies revealed negative adsorption energy values, indicating favorable adsorption. Among all the analyzed complexes, M2 nanocarrier demonstrated the most suitable characteristics for the delivery of the HXU anticancer drug. These findings hold promise for the development of an efficient and targeted drug delivery system that could potentially mitigate the toxicity associated with HU and enhance cancer treatment outcomes.'

    Quantum capacitances of transition metal-oxides (CoO, CuO, NiO, and ZnO) doped graphene oxide nanosheet: Insight from DFT computation

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    Density functional theory (DFT) computation has been utilized to explore the effects of the transition metal oxides: CoO, CuO, NiO, and ZnO doping on the electronic properties, structural, and quantum capacitances of graphene oxide nanosheet. From the magnetic moment analysis CoO@GO was observed to have higher magnetic moment of 11.688 μB compared to the studied the transition metal oxide doped systems. Investigation into the electronic properties revealed that NiO@GO attained higher energy gap with value of 0.144 eV. It was observed that the GO O/C affects the bandgaps of the modelled systems. Perturbation theory analysis of fock matrix showed that CoO@GO and CuO@GO possessed higher second order stabilization energy with values 238.56 kcal/mol and 208.94 kcal/mol respectively. From the quantum capacitance studies, it was observed that the value of CQ for graphene oxide (GO) increased slightly from 72.276 µF/cm2 to ZnO@GO (121.550 µF/cm2) > NiO@GO (93.870 µF/cm2) > CoO@GO (90.52 µF/cm2) > CuO@GO (89.375 µF/cm2). The results obtained herein can provide an effective and simple new idea for the design of graphene-based supercapacitors that possess high energy density

    Assessing the performance of Al<sub>12</sub>N<sub>12</sub> and Al<sub>12</sub>P<sub>12</sub> nanostructured materials for alkali metal ion (Li, Na, K) batteries

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    This study focused on the potential of aluminum nitride (Al12N12) and aluminum phosphide (Al12P12) nanomaterials as anode electrodes of lithium-ion (Li-ion), sodium-ion (Na-ion), and potassium-ion (K-ion) batteries as investigated via density functional theory (DFT) calculations at PBE0-D3, M062X-D3, and DSDPBEP86 as the reference method. The results show that the Li-ion battery has a higher cell voltage with a binding energy of −1.210 eV and higher reduction potential of −6.791 kcal/mol compared to the sodium and potassium ion batteries with binding energies of −0.749 and −0.935 eV and reduction potentials of −6.414 and −6.513 kcal/mol, respectively, using Al12N12 material. However, in Al12P12, increases in the binding energy and reduction potential were observed in the K-ion battery with values −1.485 eV and −7.535 kcal/mol higher than the Li and Na ion batteries with binding energy and reduction potential −1.483, −1.311 eV and −7.071, −7.184 eV, respectively. Finally, Al12N12 and Al12P12 were both proposed as novel anode electrodes in Li-ion and K-ion batteries with the highest performances.Publisher PDFPeer reviewe

    Polypyridyl Coordinated Re(I) complexes for human tenascin-C (TNC) as an Antibreast Cancer Agent: An Intuition from Molecular Modeling and Simulations

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    Breast cancer continues to be the biggest cause of mortality for women worldwide, taking the lives of millions each year. As a result, scientists are now exploring the possibility of metal-based complexes as anticancer therapies. Notwithstanding, polypyridyl coordinated Re(I) complexes have demonstrated tremendous promise as cancer-fighting medications. Therefore, the intent of this research is to investigate theoretically the spectral properties, compute density functional theory (DFT), and simulate molecular docking of polypyridyl coordinated Re(I) complexes containing functionalized 2,2′-bipyridine N,N′-donor bidentate ligands: 5,5′-DiMBpy coordinated in (1a), 4,4′-DiMBpy coordinated in (2a), and 4,4′-DiMoxBp coordinated in (3a) for cancer therapy application. Intriguingly, the complex Re(2a) achieved the greatest MolDock score and H-bond energy following interactions with the target receptors utilized, followed by Re(1a) and Re(3), respectively. Thus elucidating the studied compounds to be efficient in the mitigation of breast cancer.</p
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