以TiO2-rGO纳米复合材料为可回收催化剂,一锅多组分合成高功能化三取代咪唑衍生物

IF 2.218 Q2 Chemistry
Vivek S. Ingale , Kiran N. Patil , Pankaj S. Dafale , Deepak A. Kumbhar , Pravin R. Kharade , Uttam B. Chougale
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引用次数: 0

摘要

在这项研究中,我们提出了一种简单、环保、高效的方案来合成高功能化的三取代咪唑衍生物。在无溶剂条件下,在110℃的温度下,由1分子苄基、1分子各种取代芳醛和3分子乙酸铵进行合成。TiO2-rGO纳米复合材料作为动态纳米催化剂促进了反应的进行。该方案的吸引人的特点是简单的处理程序,均匀的反应条件,无溶剂,催化剂的可重复使用和先进的合成,避免了纯化过程,如色谱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

One pot multicomponent synthesis of highly functionalized tri-substituted imidazole derivatives using TiO2-rGO nanocomposite as a recyclable catalyst

One pot multicomponent synthesis of highly functionalized tri-substituted imidazole derivatives using TiO2-rGO nanocomposite as a recyclable catalyst

In this study, we present a simple , environmentally benign and highly efficient protocol for the synthesis of highly functionalized tri-substituted imidazole derivatives. The synthesis involves the reaction of one molecule of benzil, one molecule of various substituted aromatic aldehydes and three molecules of ammonium acetate, taking place at 110 oC under solvent free condition. The reaction is facilitated by TiO2-rGO nanocomposite as a dynamic nano-catalyst. The appealing characteristics of this protocol are easy workup procedure, equable reaction conditions, solvent free, reusability of the catalyst and developed synthesis which avoid purification processes like chromatography.

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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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