A DFT analysis of the antioxidant capacity of scopolin and scopoletin

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-11-30 DOI:10.1007/s00894-024-06192-9
Baggya Sharmali Wickramanayaka Karunarathna, G. M. Supun Tharaka Gajasinghe, Jayamal Damsith Wanniarachchi, K. K. Govender, Saman Seneweera
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Abstract

Context

Scopolin and scopoletin belong to the class of coumarins and have experimentally proven natural antioxidants. Natural antioxidants are crucial in mitigating the impact of oxidants in the human body through radical scavenging. Even though scopolin and scopoletin are proven antioxidants by experimental results, their antioxidant mechanisms still remained unexplained. In this study, Density functional theory (DFT) calculations were used to study the radical scavenging mechanisms of both scopolin and scopoletin using kinetic and thermodynamics parameters. The global parameters indicated that both scopolin and scopoletin have antioxidant properties. The band gap energy \(({\Delta E}_{\text{HOMO}-\text{LUMO}})\) revealed that scopoletin (4.18 eV) has strong antioxidant activity compared to scopolin (4.31 eV). These studies found that hydrogen atom transfer (HAT) is the primary mechanism for CH3OO• radical scavenging at the C–H bond in scopolin (91.98 kcal.mol−1) and the O–H bond in scopoletin (77.05 kcal.mol−1) due to their lowest bond dissociation energies. The calculated activation energy (\({E}_{a}\)) for the radical scavenging reaction, reconfirmed scopoletin (\({E}_{a}\)=11.19 kcal.mol−1) performed as a better antioxidant compared to scopolin (\({E}_{a}\)=20.91 kcal.mol−1). In this study, the results of DFT calculations confirmed that scopoletin exhibits a higher antioxidant capacity, and HAT mechanism is the most effective radical scavenging mechanism.

Methods

The antioxidant activity of scopolin and scopoletin was determined by DFT at the B3LYP/6-31G(d) level of theory. Global parameter calculations and frontier molecular orbital analysis were conducted to assess these compounds’ capacity for scavenging radicals. Hydrogen atom transfer (HAT), sequential electron transfer proton transfer (SETPT), and sequential proton loss electron transfer (SPLET) mechanisms were the three main mechanisms that were taken into consideration. The potential energy surface (PES) verified the most appropriate processes shown by the enthalpy calculations.

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东莨菪碱和东莨菪碱抗氧化能力的DFT分析
东莨菪碱和东莨菪素属于香豆素类,已被实验证明是天然抗氧化剂。天然抗氧化剂是通过清除自由基来减轻人体中氧化剂的影响的关键。尽管实验结果证明东莨菪碱和东莨菪碱是抗氧化剂,但其抗氧化机制仍未得到解释。本研究采用密度泛函理论(DFT)计算方法,从动力学和热力学参数两方面研究了东莨菪碱和东莨菪碱清除自由基的机理。整体参数表明东莨菪碱和东莨菪碱均具有抗氧化性能。带隙能\(({\Delta E}_{\text{HOMO}-\text{LUMO}})\)表明,东莨菪碱(4.18 eV)比东莨菪碱(4.31 eV)具有较强的抗氧化活性。这些研究发现,在东莨菪碱的C-H键(91.98 kcal.mol−1)和O-H键(77.05 kcal.mol−1)上,氢原子转移(HAT)是清除ch300•自由基的主要机制,因为它们的键离解能最低。通过计算自由基清除反应的活化能(\({E}_{a}\)),再次证实东莨菪碱(\({E}_{a}\) =11.19 kcal.mol−1)比东莨菪碱(\({E}_{a}\) =20.91 kcal.mol−1)具有更好的抗氧化性能。在本研究中,DFT计算结果证实东莨菪碱具有较高的抗氧化能力,HAT机制是最有效的自由基清除机制。方法采用DFT法在B3LYP/6-31G(d)理论水平上测定东莨菪碱和东莨菪碱的抗氧化活性。通过全局参数计算和前沿分子轨道分析来评估这些化合物清除自由基的能力。氢原子转移(HAT)、序序电子转移质子转移(SETPT)和序序质子损失电子转移(SPLET)机制是研究的三种主要机制。势能面(PES)验证了焓计算所显示的最合适的过程。
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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