Suppr超能文献

采用傅里叶变换红外光谱(FT-IR)、傅里叶变换拉曼光谱(FT-Raman)、紫外可见光谱(UV-VIS)、核磁共振(NMR)和密度泛函理论(DFT)方法对2-乙酰基-5-甲基呋喃进行振动特性和分子电子研究

Vibrational Characterization and Molecular Electronic Investigations of 2-acetyl-5-methylfuran using FT-IR, FT-Raman, UV-VIS, NMR, and DFT Methods.

作者信息

Bassey Victoria M, Apebende Chioma G, Idante Precious S, Louis Hitler, Emori Wilfred, Cheng Chun-Ru, Agwupuye John A, Unimuke Tomsmith O, Wei Kun, Asogwa Fredrick C

机构信息

Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria.

Department of Pure and Applied Chemistry, Faculty of Physical Sciences, University of Calabar, Calabar, Nigeria.

出版信息

J Fluoresc. 2022 May;32(3):1005-1017. doi: 10.1007/s10895-022-02903-8. Epub 2022 Mar 5.

Abstract

Spectroscopic (FT-IR, FT-Raman, UV-vis, and NMR) techniques have been extensively used for structural elucidation of compounds along with the study of geometrical and vibrational properties. Herein, 2-acetyl-5-methylfuran, a derivative of furan, was experimentally characterized and analyzed in details using FT-IR, FT-Raman, UV-vis, and H NMR spectroscopic techniques conducted in different solvents. The experimentally analyzed spectral results were carefully compared with theoretical values obtained using density functional theory (DFT) calculations at the B3LYP/6-311 + + G (d, p) method to support, validate, and provide more insights on the structural characterizations of the titled compound. The correlated experimental and theoretical structural vibrational assignments along with their potential energy distributions (PEDs) and all the spectroscopic spectral investigations of the titled structure were observed to be in good agreements with calculated results.

摘要

光谱(傅里叶变换红外光谱、傅里叶变换拉曼光谱、紫外可见光谱和核磁共振光谱)技术已被广泛用于化合物的结构解析以及几何和振动性质的研究。在此,呋喃的衍生物2-乙酰基-5-甲基呋喃,通过在不同溶剂中进行傅里叶变换红外光谱、傅里叶变换拉曼光谱、紫外可见光谱和氢核磁共振光谱技术进行了实验表征和详细分析。将实验分析得到的光谱结果与使用密度泛函理论(DFT)在B3LYP/6-311++G(d,p)方法下计算得到的理论值进行了仔细比较,以支持、验证并提供关于该标题化合物结构表征的更多见解。观察到相关的实验和理论结构振动归属及其势能分布(PEDs)以及标题结构的所有光谱研究结果与计算结果吻合良好。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验