利用DFT和TD-DFT对钛醇、铁醇、镍醇和锌醇等环共轭桥组成的nlo活性推挽分子进行了理论研究。

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2025-02-03 DOI:10.1007/s00894-025-06294-y
Hicham Mahdjoub–Araibi, Mourad Zouaoui–Rabah, Madani Hedidi, Abdelkader M. Elhorri, Assia Laib, Mohammed Zenati
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The molecule 2B gave the highest values ​​of static first hyperpolarisabilitiy (β<sub>tot</sub>) and static second hyperpolarisabilitiy (γ<sub>av</sub>), knowing that: β<sub>tot</sub> (2B) = 135.79 * 10<sup>–30</sup> esu and γ<sub>av</sub> (2B) = 135.79 * 10<sup>–35</sup> esu. The highest values ​​of dynamic first <span>\\(\\beta_\\parallel^\\lambda\\left(-2\\omega;\\omega,\\;\\omega\\right)\\)</span> and second <span>\\(\\gamma_\\parallel^\\lambda\\left(-2\\omega;\\omega,\\;\\omega,\\;0\\right)\\)</span> hyperpolarisabilities are assigned to the molecule 1C with the following values: <span>\\(\\gamma_\\parallel^\\lambda\\left(-2\\omega;\\omega,\\;\\omega,\\;0\\right)\\)</span> =1,218,310.00 * 10<sup>–30</sup> esu and <span>\\(\\gamma_\\parallel^\\lambda\\left(-2\\omega;\\omega,\\;\\omega,\\;0\\right)\\)</span>=1,324,520,000 * 10<sup>–35</sup> esu. The metal Zn is considered as an acceptor group and the remaining metals (Ti, Fe and Ni) are considered as donor groups. 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引用次数: 0

摘要

背景:本研究是在理论研究的基础上,对基于两种不同有机金属环的共轭桥的7个推拉分子进行了研究,这些桥的末端在上述环的α位置上由受体基团(-NO2)和给体基团(-N(CH3)2)连接。供体和受体基团的位置表明,与在Zinkol环上接枝这些基团相比,在环附近加入受体基团(Titanol, Ferrol和Nickelol)提高了NLO响应,并且也影响了π电子在所研究的发色团水平上的定位。分子2B的静态第一超极化率(βtot)和静态第二超极化率(γav)最高,已知:βtot (2B) = 135.79 * 10-30 esu, γav (2B) = 135.79 * 10-35 esu。动态第一β‖λ - 2 ω的最大值;ω, ω和二次γ‖λ - 2 ω;ω, ω, 0超极化率分配给分子1C,其值如下:γ‖λ - 2 ω;ω, ω, 0 =1,218,310.00 * 10-30 esu, γ‖λ - 2 ω;ω, ω,0 =1,324,520,000 * 10-35 esu。金属Zn被认为是受体基团,其余金属(Ti, Fe和Ni)被认为是供体基团。这七种分子的特定溶剂是水、乙醇和乙腈。所有分子与所有溶剂结合时记录的最大波长范围为421.39 ~ 765.28 nm。λ方法:采用Gaussian 16软件,利用B3LYP泛函进行DFT计算。LanL2DZ基集用于过渡金属,6-31 + + G(d,p)基集用于非金属原子。所使用的功能有:CAM-B3LYP、LC-wPBE、LC-BLYP、M11、wB97X、M08-HX、M06-2X、MN12SX、MN15和M06HF。使用的基:我感觉(d, p), 6-31 + + G (d, p), cc-pVDZ, aug-cc-pVDZ, 6 - 311 G (d, p), 6 - 311 + + G (d, p), cc-pVTZ, aug-cc-pVTZ。自然键轨道(NBO)的计算是由默认包含在高斯16程序中的NBO程序进行的。研究的溶剂化模型有CPCM模型(导体极化连续体模型)和SMD模型(溶剂化模型密度)。激发态计算采用时变DFT方法(TD-DFT)。
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Theoretical study by DFT and TD–DFT of NLO-active push–pull molecules composed of conjugated bridges based on cyclic rings: Titanol, Ferrol, Nickelol and Zinkol

Context

This research is based on the theoretical study of seven push–pull molecules composed of conjugated bridges based on two different organometallic rings, these bridges are linked at their ends by acceptor groups (–NO2) and donor groups (–N(CH3)2) on the α position of the rings mentioned above. The location of the donor and acceptor groups revealed that the addition of the acceptor groups near the rings (Titanol, Ferrol and Nickelol) improves the NLO response in comparison with the grafting of these groups on the Zinkol ring and also influences the positioning of the π electrons at the level of the chromophores studied. The molecule 2B gave the highest values ​​of static first hyperpolarisabilitiy (βtot) and static second hyperpolarisabilitiy (γav), knowing that: βtot (2B) = 135.79 * 10–30 esu and γav (2B) = 135.79 * 10–35 esu. The highest values ​​of dynamic first \(\beta_\parallel^\lambda\left(-2\omega;\omega,\;\omega\right)\) and second \(\gamma_\parallel^\lambda\left(-2\omega;\omega,\;\omega,\;0\right)\) hyperpolarisabilities are assigned to the molecule 1C with the following values: \(\gamma_\parallel^\lambda\left(-2\omega;\omega,\;\omega,\;0\right)\) =1,218,310.00 * 10–30 esu and \(\gamma_\parallel^\lambda\left(-2\omega;\omega,\;\omega,\;0\right)\)=1,324,520,000 * 10–35 esu. The metal Zn is considered as an acceptor group and the remaining metals (Ti, Fe and Ni) are considered as donor groups. The specific solvents for the seven molecules are water, ethanol and acetonitrile. The maximum wavelengths recorded for all molecules in combination with all solvents are in the range of 421.39 to 765.28 nm. λ

Method

The calculations were performed using Gaussian 16 software to perform DFT calculations with B3LYP functional. The LanL2DZ basis–set was used for transition metals, while the 6–31 +  + G(d,p) basis–set was used for nonmetal atoms. The functionals used are: CAM–B3LYP, LC–wPBE, LC–BLYP, M11, wB97X, M08–HX, M06–2X, MN12SX, MN15, and M06HF. The basis–sets used are: 6–31G(d,p), 6–31 +  + G(d,p), cc–pVDZ, aug–cc–pVDZ, 6–311G(d,p), 6–311 +  + G(d,p), cc–pVTZ, and aug–cc–pVTZ. The Natural Bond Orbital (NBO) calculations are performed by the NBO program incorporated by default in the Gaussian 16 program. The solvation models studied are the CPCM model (conductor polarizable continuum model) and the SMD model (Solvation Model Density). Excited states calculations are calculated by the time-dependent DFT method (TD–DFT).

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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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