Khalida Abaid Samawi , Shaimaa Imad Ali , Taghried A. Salman , Belal A. Alshekhly
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引用次数: 0
Abstract
Phthalocyanine-based covalent organic frameworks (PC-COFs) are a novel subclass of COFs that integrate phthalocyanine units to enhance electronic, optical, and catalytic properties. These frameworks are particularly effective in CO2 adsorption due to their high surface area, tunable porosity, and exceptional stability. In this study, we have employed density functional theory (DFT) calculations to explore the electronic properties of phthalocyanine doped with various metal centers (Co, Cu, Fe, Ni, Zn) and their impact on CO2 adsorption. The geometries of metal-doped phthalocyanines and their CO2 complexes were optimized using the B3PW91 functional with the LANL2DZ basis set. Adsorption energies, electronic structures, and reactivity indices such as HOMO-LUMO gaps, ionization potentials, and electron affinities were analyzed. The findings revealed that Fe-doped phthalocyanines exhibited the highest reactivity and strongest CO2 adsorption due to favorable charge transfer interactions. Additionally, aromaticity indices (HOMA and Bird) indicated enhanced aromatic character upon CO2 adsorption. These insights provide a foundation for designing more efficient PC-COF materials for CO2 capture, emphasizing the crucial role of electronic properties and metal center selection in optimizing adsorption performance.
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.