Understanding the interaction mechanisms of active compounds extracted from Tabernaemontana penduliflora on the surface of magnetite (111) nanoparticles in aqueous medium by DFT and MD approaches.
Fredy Harcel Kamgang-Djioko, Christelle Ivane Azambou, Lucresse Kora Nguena Tiomo, Simeon Chukwudozie Nwanonenyi, Georges Kamgang Youbi, Chinyere Ada Madu, Emeka Emmanuel Oguzie
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引用次数: 0
Abstract
Computational techniques have been used to analyze the molecules of 10-hydroxycoronahydine (HC) and voacangine hydroxyindolenine (VH) molecules with the aim of studying the effect of base and temperature on their interaction mechanisms during synthesis green magnetite nanoparticles. Density functional theory (DFT) descriptors such as: energy gap, overall reactivity descriptors, dipole moment and adsorption energy have all been explored in depth to understand the nature of the interaction. The DFT results showed that the molecules studied (HC and VH) are interactive and stable in an aqueous medium, due to the fact that these molecules have free electronic doublets on the nitrogen atom and the bond of the aromatic ring. It was observed that each molecule effectively increased the stabilization energy of magnetite nanoparticles through electron transfer. According to the Fukui function reactivity results, HC and VH compounds both have high oxidizing powers. Thus, showing that they are good agents for functionalizing magnetite nanoparticles. The adsorption energy and interaction force of HC and VH with the magnetite (111) nanoparticle surface were shown to increase with temperature and depend on the base used. The results of molecular dynamic (MD) simulation demonstrated that the adsorption of molecules on the adsorbate is chemical in nature and that chemical bonds predominate over electrostatic interactions. The molecular dynamics simulation parameters show that the adsorption of 10-hydroxycoronahydine and voacangine hydroxyindolenine molecules is chemisorption, exothermic and spontaneous.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.