DFT investigation of green stabilizer reactions: curcumin in nitrocellulose-based propellants

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2025-01-06 DOI:10.1007/s00894-024-06263-x
Nathália M. P. Rosa, Matheus Máximo-Canadas, João Luís do Nascimento Mossri, Rodrigo Leonard Barboza Rodrigues, Jakler Nichele, Itamar Borges Jr.
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Abstract

Context

Nitrocellulose, widely used in energetic materials, is prone to thermal and chemical degradation, compromising safety and performance. Stabilizers are molecules used in the composition of nitrocellulose-based propellants to inhibit the autocatalytic degradation process that produces nitrous gases and free nitric acids. Curcumin, (1E,6E)-1,7-bis(4-hydroxy-3-methoxyphenyl)-1,6-heptadiene-3,5-dione, known for its antioxidant properties and a potential green stabilizer, was investigated using Density Functional Theory (DFT) focusing on its interaction with nitrogen dioxide. Two mechanisms were analyzed: aromatic ring nitration and free radical formation. The results indicate that nitration of the aromatic ring of curcumin and the formation of a curcumin-based free radical are viable. The computed Gibbs free activation energy (∆G°) and the activation enthalpy (∆H°) for two different temperatures, 298.15 K (room temperature) and 363.15 K (typical temperature in aging tests), are respectively 43.64 kcal/mol and 44.78 kcal/mol for the first reaction, and 31.54 kcal/mol and 35.31 kcal/mol for the second. The radical-based mechanism favors improved kinetics. These findings demonstrate curcumin’s potential as an effective stabilizer, providing comparable performance to traditional compounds with lower environmental impact.

Methods

DFT calculations were carried out using Gaussian 09 and Orca 5.0.1 packages. The ωB97M-V, B3LYP, and M062X functionals were employed with the 6–311 + G(d) and 6-311G(d) basis sets. Solvent effects were modeled using the Conductor-like Polarizable Continuum Model (CPCM) and Solvation Model based on Density (SMD) continuum solvent models. Thermochemical data were computed using the same levels of calculation.

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绿色稳定剂反应:姜黄素在硝化纤维素基推进剂中的DFT研究。
背景:硝基纤维素广泛应用于含能材料,容易发生热降解和化学降解,影响安全性和性能。稳定剂是用于硝基推进剂组成中的分子,用于抑制产生亚氮气体和游离硝酸的自催化降解过程。姜黄素,(1E,6E)-1,7-二(4-羟基-3-甲氧基苯基)-1,6-庚二烯-3,5-二酮,以其抗氧化性能和潜在的绿色稳定剂而闻名,利用密度泛函理论(DFT)研究其与二氧化氮的相互作用。分析了芳环硝化和自由基形成两种机理。结果表明,姜黄素芳香环的硝化作用和姜黄素基自由基的形成是可行的。在298.15 K(室温)和363.15 K(老化试验典型温度)下,第一反应的Gibbs自由活化能(∆‡G°)和活化焓(∆‡H°)分别为43.64 kcal/mol和44.78 kcal/mol,第二反应的Gibbs自由活化能和活化焓(∆‡H°)分别为31.54 kcal/mol和35.31 kcal/mol。基于自由基的机理有利于改善动力学。这些发现证明了姜黄素作为一种有效的稳定剂的潜力,提供了与传统化合物相当的性能,对环境的影响更小。方法:采用Gaussian 09和Orca 5.0.1软件包进行DFT计算。ωB97M-V、B3LYP和M062X泛函分别用于6-311 + G(d)和6-311G(d)基集。采用类导体极化连续介质模型(CPCM)和基于密度连续介质模型(SMD)的溶剂化模型对溶剂效应进行了建模。热化学数据的计算使用相同的计算水平。
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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