Suppr超能文献

取代酰腙高选择性氟离子传感器的光谱和含时密度泛函理论研究。

Spectroscopic and TDDFT investigation of highly selective fluoride sensors by substituted acyl hydrazones.

机构信息

Department of Chemistry, CHRIST (Deemed to be University), Bangalore, Karnataka 560029, India.

Department of Chemistry, St. Berchmans College (Autonomous), Changanassery, Kerala 686101, India.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2020 Aug 5;236:118329. doi: 10.1016/j.saa.2020.118329. Epub 2020 Apr 3.

Abstract

In this work, we report the synthesis of two receptors for fluoride ions based on acyl hydrazone, such as N'-[(1Z)-1-(4-fluorophenyl)ethylidene]benzohydrazide (R1) and N'-[(1Z)-1-(2-hydroxyphenyl)ethylidene]benzohydrazide (R2). The receptors R1 and R2 were synthesized from the corresponding ketones and benzoic acid hydrazide and characterized spectroscopically by UV-visible, IR and HNMR techniques. The response of R1 and R2 towards different anions was studied colourimetrically in acetonitrile. The receptors exhibited a specific response towards fluoride ions. Further studies of 1:1 composition of receptors, R1/R2:fluoride ions by different spectroscopic techniques such as UV-Visible, IR and HNMR spectroscopy indicated the participation of -NH proton of the receptors in the sensing action through the hydrogen bonding. To understand the mechanism, Time-Dependent Density Functional Theory (TD-DFT) studies were done using the CAM-B3LYP/6311G++ (3df,2p) with Grimme's D3BJ empirical dispersion basis set. The studies supported the role of hydrogen bonding interaction of -NH and-OH protons of the receptors with the fluoride ions.

摘要

在这项工作中,我们报告了两种基于酰腙的氟离子受体的合成,如 N'-[(1Z)-1-(4-氟苯基)亚乙基]苯甲酰肼(R1)和 N'-[(1Z)-1-(2-羟基苯基)亚乙基]苯甲酰肼(R2)。受体 R1 和 R2 是由相应的酮和苯甲酰肼合成的,并通过紫外可见光谱、红外光谱和 HNMR 技术进行了光谱表征。在乙腈中,通过比色法研究了 R1 和 R2 对不同阴离子的响应。受体对氟离子表现出特异性响应。通过紫外可见光谱、红外光谱和 HNMR 光谱等不同光谱技术进一步研究受体、R1/R2:氟离子的 1:1 组成表明,受体中的-NH 质子通过氢键参与了传感作用。为了理解这一机制,使用 Grimme 的 D3BJ 经验色散基组的 CAM-B3LYP/6311G++(3df,2p)进行了时间相关密度泛函理论(TD-DFT)研究。这些研究支持了受体的-NH 和-OH 质子与氟离子之间氢键相互作用的作用。

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