1H NMR化学位移的计算:含能材料的结构评估。

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Mohnish Mohnish, Vijayalakshmi Ramavath, Vikas D Ghule, Radhakrishnan Sarangapani
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引用次数: 0

摘要

背景:核磁共振(NMR)波谱是一种非常有价值的工具,广泛用于有机化合物的结构解析和化学的各个领域。建立了密度泛函理论(DFT)和非量规原子轨道(GIAO)计算策略,以较低的计算费用预测可靠的核磁共振化学位移,并有助于解决复杂结构分配中的歧义。本文首次将DFT-GIAO核磁共振化学位移预测方法应用于多种含能材料。我们使用计算成本低廉的单点计算预测了48种含脂肪族、芳香族和杂环骨架的含各种爆炸官能团的含能化合物的1H NMR位移。在B3LYP/6-311G+(2d,p)水平的DFT优化和GIAO核磁共振计算中,我们预测了各种含能化合物的1H化学位移,并用相应的实验测量的核磁共振光谱进行了验证。氢氯甲烷质子1H NMR位移的平均绝对偏差范围为0.01 ~ 2.15 ppm。我们说明了B3LYP/6-311G+(2d,p)方法在含能化合物中由于电负性爆炸基团引起的立体化学或高度去屏蔽质子的分配具有合理的准确性。本研究还建立了含能材料的结构-化学位移关系。我们认为,DFT-GIAO方法提供的可靠的结构分配为模棱两可和复杂的高能分子结构的结构验证和分配提供了一种用户友好但未充分利用的工具。方法:利用Gaussian 09软件包,在B3LYP/6-311G+(2d,p)理论水平上对所选含能化合物进行优化和质子化学位移预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computation of 1H NMR chemical shifts: structural assessment of energetic materials.

Context: Nuclear magnetic resonance (NMR) spectroscopy is a highly valuable tool that is extensively employed for the structure elucidation of organic compounds and in various domains of chemistry. The density functional theory (DFT) and gauge-independent atomic orbital (GIAO) calculation strategy was established to predict reliable NMR chemical shifts with low computational expense and assist in resolving ambiguities in complex structure assignments. Here, we present the DFT-GIAO NMR chemical shift prediction method employed for the first time on a variety of energetic materials. We have predicted 1H NMR shifts using computationally inexpensive single-point calculations for 48 energetic compounds comprising aliphatic, aromatic and heterocyclic backbones with various explosophoric functionalities. In DFT optimization and GIAO NMR computations at the B3LYP/6-311G+(2d,p) level, we predicted the 1H chemical shifts for various energetic compounds and validated them with corresponding experimentally measured NMR spectra. The mean absolute deviation in predicted 1H NMR shifts in CH protons ranges from 0.01 to 2.15 ppm. We illustrate the application of B3LYP/6-311G+(2d,p) method to assign the stereochemistry or highly deshielded protons due to electronegative explosophoric groups in energetic compounds with reasonable accuracy. This study also establishes the structure-chemical shift relationships of energetic materials. We believe that the reliable structural assignments provided by the DFT-GIAO method offer a user-friendly yet underutilized tool for structural validation and assignment of ambiguous and complex energetic molecular structures.

Methods: The optimization and proton chemical shift prediction for all selected energetic compounds were carried out at the B3LYP/6-311G+(2d,p) level of theory, utilizing Gaussian 09 software package.

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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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