Structural characterization and keto-enol tautomerization of 4-substituted pyrazolone derivatives with DFT approach

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of molecular graphics & modelling Pub Date : 2024-06-19 DOI:10.1016/j.jmgm.2024.108814
Serpil Eryilmaz , Emine Bagdatli
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Abstract

The synthesis of two pyrazolone derivative compounds, PYR-I (4-Acetyl-1-(4-chlorophenyl)-3-isopropyl-1H-pyrazol-5(4H)-one) and PYR-II 1-(4-Chlorophenyl))-3-isopropyl-5-oxo-4,5-5-dihydro-1H-pyrazole-4-carbaldehyde, their characterization by FT-IR, NMR, UV–Vis and GC-MS techniques, and the evaluation of the keto-enol tautomerization process of the structures along with the DFT approach and spectral data were reported in this paper. Spectral findings indicated that PYR-I was stable at the keto state. The IR spectrum recorded in solid form showed that the PYR-II structure was stable in the enol state, while the NMR spectrum in the solution medium showed that it was stable in the keto state. DFT-based analyses were realized with the B3LYP hybrid functional and the 6–311++G(d,p) basis set. The modelled keto, transition and enol state molecular geometries of structures were optimized in the gas phase and different solvent media and the total energy and dipole moment values were investigated at the specified theoretical level. The possible keto-enol tautomerism mechanism of the structures was evaluated through some thermodynamic parameters such as the difference in free Gibbs energy (ΔG), enthalpy (ΔH), entropy (ΔS), and predictive tautomeric equilibrium constants (Keq), acidity constants (pKa) and percentages of tautomers at 298.15 K and 1 atm pressure. The results of these analyses based on the DFT approach indicated that the keto-enol tautomer equilibrium heavily favours the keto form for PYR-I and the enol form for PYR-II in all cases. Moreover, natural bond orbital (NBO) analysis was performed for the tautomers, and the chemical reactivity profiles of the most stable tautomers were examined with the values of frontier molecular orbital energy and some reactivity descriptors.

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用 DFT 方法研究 4-取代吡唑酮衍生物的结构特征和酮烯醇共聚。
PYR-I(4-乙酰基-1-(4-氯苯基)-3-异丙基-1H-吡唑-5(4H)-酮)和PYR-II1-(4-氯苯基))-3-异丙基-5-氧代-4,5-5-二氢-1H-吡唑-4-甲醛这两种吡唑酮衍生物的合成、本文通过傅立叶变换红外光谱(FT-IR)、核磁共振(NMR)、紫外可见光谱(UV-Vis)和气相色谱-质谱(GC-MS)技术对它们进行了表征,并通过 DFT 方法和光谱数据对这些结构的酮烯醇同分异构过程进行了评估。光谱结果表明,PYR-I 在酮态稳定。固体记录的红外光谱显示PYR-II 结构在烯醇态稳定,而溶液介质中的核磁共振谱显示其在酮态稳定。利用 B3LYP 混合函数和 6-311++G(d,p) 基集实现了基于 DFT 的分析。在气相和不同溶剂介质中,对建模的酮态、过渡态和烯醇态分子几何结构进行了优化,并在指定的理论水平上对总能量和偶极矩值进行了研究。通过一些热力学参数,如自由吉布斯能(ΔG)、焓(ΔH)、熵(ΔS)的差异,以及在 298.15 K 和 1 atm 压力下的预测同分异构平衡常数(Keq)、酸度常数(pKa)和同分异构体的百分比,对这些结构可能的酮烯醇同分异构机理进行了评估。这些基于 DFT 方法的分析结果表明,在所有情况下,PYR-I 的酮烯醇同分异构体平衡都更倾向于酮形式,而PYR-II 则更倾向于烯醇形式。此外,还对这些同系物进行了天然键轨道(NBO)分析,并利用前沿分子轨道能和一些反应性描述符的值研究了最稳定同系物的化学反应性曲线。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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