DFT and TDDFT studies on π-conjugated ligands for copper sensing: analyzing electronic structures and optical performance.

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Susheel, Abdullah Saad Alsubaie, Mukhtar Ahmed, Sumit Sahil Malhotra, Asha, Manoj Kumar Gupta, Azaj Ansari
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引用次数: 0

Abstract

Context: Structural, bonding aspects and optical characteristics of a set of π-conjugated quinoline-based ligands (L1-L4) and coordinated copper (Cu2+) ion were investigated by using density functional theory (DFT) and time dependent DFT methods. DFT results showed that L3 exhibits the lowest HOMO-LUMO energy gap (3.05 eV) indicating high reactivity and strong charge transfer ability while its copper complex further reduces the gap to 2.52 eV. Electrostatic potential maps highlighted a negative potential region around nitrogen and carbonyl oxygen sites confirming their role in copper coordination. Natural bond orbital analysis of the L3 complex revealed the highest stabilization energy of 79.15 kcal/mol indicating substantial donor-acceptor interactions. ELF and LOL plots further supported efficient π-delocalization in L3-Cu2+ while NCI analysis further confirmed reduced steric repulsion around the Cu2+ coordination sphere compared to other complexes which support its favorable geometry and stability. QTAIM analysis indicated a mixed electrostatic covalent character of Cu-N/O bonds. TDDFT results showed strong ligand to metal charge transfer bands in the visible spectrum for L3-Cu2+ at 452 and 667 nm which lend credence to a mechanism of chelation-enhanced charge transfer. Non-linear optical analysis revealed enhanced first hyperpolarizability upon complexation particularly for L1-Cu2+ (β = 9.46 × 10-30 esu) and L4-Cu2+ (β = 9.12 × 10-30 esu). These observations provide a useful layout for generating metal ion sensors in the future with improved optical response and selectivity. These theoretical findings agree with the coordination behavior seen in experiments supporting L3-based systems in the copper ion detection applications.

Methods: Geometry optimization and frequency analyses were performed using DFT at the B3LYP/6-311G(d,p) level for non-metal atoms and LANL2DZ basis set for copper. The polarized continuum model was used for the solvation as implemented in Gaussian 16. The NBO6.0 program was utilized to investigate the bonding nature and stabilization energies of the complexes. The ORCA4.2 program was used to simulate the absorption spectrum. The Multiwfn and VMD programs were used for the topological analysis.

铜传感π共轭配体的DFT和TDDFT研究:分析电子结构和光学性能。
背景:利用密度泛函理论(DFT)和时间依赖DFT方法研究了一组π共轭喹啉配体(L1-L4)和配位铜(Cu2+)离子的结构、成键和光学特性。DFT结果表明,L3的HOMO-LUMO能隙最小(3.05 eV),反应活性高,电荷转移能力强,其铜配合物进一步将能隙减小到2.52 eV。静电电位图突出了氮和羰基氧位点周围的负电位区域,证实了它们在铜配位中的作用。L3配合物的自然键轨道分析显示,最高稳定能为79.15 kcal/mol,表明存在大量的供体-受体相互作用。ELF和LOL图进一步支持了L3-Cu2+的有效π离域,而NCI分析进一步证实了与其他配合物相比,Cu2+配位球周围的空间排斥力更小,这支持了其良好的几何形状和稳定性。QTAIM分析表明Cu-N/O键具有混合静电共价特征。TDDFT结果显示,在452 nm和667 nm处,L3-Cu2+的金属电荷转移带呈强配体,这为螯合增强电荷转移机制提供了依据。非线性光学分析表明,配合物对L1-Cu2+ (β = 9.46 × 10-30 esu)和L4-Cu2+ (β = 9.12 × 10-30 esu)的第一超极化率有增强作用。这些观察结果为将来产生具有更好的光学响应和选择性的金属离子传感器提供了一个有用的布局。这些理论发现与实验中支持l3基系统在铜离子检测应用中的配位行为一致。方法:对非金属原子采用B3LYP/6-311G(d,p)水平的DFT进行几何优化和频率分析,对铜采用LANL2DZ基集。采用极化连续介质模型进行溶剂化。利用NBO6.0程序研究了配合物的成键性质和稳定能。采用ORCA4.2程序模拟吸收光谱。使用Multiwfn和VMD程序进行拓扑分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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