Modification of graphenylene nanostructure as a promising material for adsorption and sensing of 5-fluorouracil: First-principles investigations

IF 3.1 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Ali B.M. Ali , A.A. Abdulazez , G. Padma Priya , Subhashree Ray , Amrita Pal , Renu Sharma , Sulton Usanov , Zukhra Atamuratova , Elyor Saitov , Aseel Smerat , Mohammad Y. Alshahrani
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Abstract

Studies aimed at developing materials with high efficacy for detecting the anticancer drug 5-fluorouracil (5FUL) are considered essential for both environmental protection and human health. However, practical utilization of such materials requires overcoming several challenges. In this study, the adhesion behavior of 5FUL on graphenylene (GrNL), a two-dimensional carbon nanostructure, as well as on Al-modified GrNL (Al@GrNL), was investigated using density functional theory (DFT) calculations. For Al@GrNL, various adhesion sites and distances from the GrNL nanosheet were thoroughly examined. The electronic and structural properties, adhesion energies, bandgap values, and adhesion energies of different complexes were analyzed and discussed in detail. The results indicate that the six-ring site (H2) is the most favorable adhesion site for the Al atom. Adhesion energy analysis reveals a strong interaction between 5FUL molecules and Al@GrNL (Ead = −1.253 eV), whereas the interaction with pure GrNL is relatively weak. Furthermore, Al@GrNL exhibits high sensitivity to 5FUL, as evidenced by significant changes in electrical conductance and magnetic properties upon adhesion. These DFT calculations provide valuable insights into the potential of Al@GrNL as an effective chemical sensor for 5FUL detection.

Abstract Image

改性石墨烯纳米结构作为一种有前途的5-氟尿嘧啶吸附和传感材料:第一性原理研究。
开发高效检测抗癌药物5-氟尿嘧啶(5-fluorouracil, 5FUL)的材料,对环境保护和人类健康都至关重要。然而,这些材料的实际利用需要克服几个挑战。在本研究中,利用密度泛函理论(DFT)计算研究了5FUL在二维碳纳米结构石墨烯(GrNL)以及al修饰的GrNL (Al@GrNL)上的粘附行为。对于Al@GrNL,各种粘附位点和距离GrNL纳米片被彻底检查。详细分析和讨论了不同配合物的电子和结构特性、粘附能、带隙值和粘附能。结果表明,六环位(H2)是Al原子最有利的粘附位。粘附能分析表明5FUL分子与Al@GrNL之间的相互作用较强(Ead = -1.253 eV),而与纯GrNL的相互作用相对较弱。此外,Al@GrNL对5FUL表现出很高的敏感性,这可以通过粘附后电导率和磁性能的显著变化来证明。这些DFT计算为Al@GrNL作为5FUL检测的有效化学传感器的潜力提供了有价值的见解。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
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.
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