探索白藜芦醇的分子溶色性、稳定性、反应性和非线性光学响应。

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Igo T. Lima, Ramon F. C. Gomes, Edson N. C. Paura, Patricio F. Provasi, Rodrigo Gester, Antonio Rodrigues da Cunha
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引用次数: 0

摘要

背景:这项研究利用密度泛函理论分析了白藜芦醇分子的异构化效应和溶剂对其稳定性、电子激发、反应性和非线性光学特性(NLO)的影响。研究结果表明,白藜芦醇的溶解变色作用受到溶剂极化的显著影响。电子能和自由能(E 和 G)表明,反式是最稳定的构象。该体系被归类为强亲核体系。然而,对 Fukui 函数和 Mulliken 电荷的分析表明,顺式-反式异构化会共同影响碳原子和氢原子的反应指数。结果还表明,溶剂与溶解变色和 NLO 反应有关。顺式和反式构象都具有很强的 π - π ∗ 激发,当溶剂极性增加时,它们会发生明显的低色度变化。根据 Oudar 和 Chemla 关系将吸收光谱与第一次超极化(β)联系起来后,发现白藜芦醇的次色性是环境极性降低时二次谐波产生量减少的原因。CAM-B3LYP DFT 结果表明,白藜芦醇对 NLO 应用很有意义。根据溶剂的选择,其值是标准 NLO 材料尿素(β = 0.34 × 10 - 34 esu)的 50 倍:利用密度泛函理论(DFT)的混合交换相关函数(CAM-B3LYP)和波普尔基集函数,特别是 6-311++G(d,p),得到了白藜芦醇顺式和反式异构体在真空中的优化几何结构。利用可极化连续体模型 (PCM),在相同的 QM 计算水平下,将溶剂对两种异构体几何结构的影响考虑在内。振动分析证实,所有优化的几何结构都符合最小能量。各种电子特性,包括偶极矩、分子轨道、过渡能、偶极极化率和全局反应性参数,都是根据顺序 QM/MM 方法,利用连续和离散溶解模型计算得出的。所有 QM 计算均使用 Gaussian 09 程序进行,而 MC 模拟则使用 DICE 程序。所有 NLO 分析均使用 Multiwfn 代码进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring the molecular solvatochromism, stability, reactivity, and non-linear optical response of resveratrol

Exploring the molecular solvatochromism, stability, reactivity, and non-linear optical response of resveratrol

Context

This work analyzes the isomerization effects and solvent contributions to the stability, electronic excitations, reactivity, and non-linear optical properties (NLO) of resveratrol molecules within the formalism of the Density Functional Theory. The findings suggest that resveratrol solvatochromism is significantly influenced by solvent polarization. The electronic and free energies (E and G) indicate that trans is the most stable conformer. The system is classified as a strong nucleophile. However, the analysis of the Fukui functions and the Mulliken charges indicate that cis-trans isomerization jointly affects the reactive indices of the carbon and hydrogen atoms. The results also suggest that solvent is relevant to solvatochromism and the NLO response. Both cis and trans conformers present strong \(\pi -\pi ^*\) excitations that undergo a visible hypsochromic change when the polarity of the solvent increases. Once the absorption spectra are connected to the first hyperpolarization (\(\beta \)) by the Oudar and Chemla relation, the hypsochromism of resveratrol is the reason for the drop in the generation of the second harmonic when the ambient polarity decreases. The CAM-B3LYP DFT results suggest that resveratrol is interesting for NLO applications. Depending on the choice of solvent, values \(\sim \) 50 times those observed for urea (\(\beta = 0.34 \times 10^{-34}\) esu), which is a standard NLO material.

Methods

The optimized geometries of cis and trans isomers of resveratrol in vacuum were obtained using Density Functional Theory (DFT) with the hybrid exchange-correlation function (CAM-B3LYP) and Pople basis set functions, specifically 6-311++G(d,p). The solvent effect on the geometries of both isomers was included using the polarizable continuum model (PCM) with the same level of QM calculation. Vibrational analysis was conducted to confirm that all optimized geometries correspond to the minimum energy. Various electronic properties, including dipole moments, molecular orbitals, transition energy, dipole polarizabilities, and global reactivity parameters, were calculated using both continuum and discrete solvation models based on the sequential QM/MM methodology. All QM calculations were performed with the Gaussian 09 program and the MC simulations with the DICE program. All NLO analysis was carried out using the Multiwfn code.

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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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