Suppr超能文献

基于电荷转移配合物的比色超分子传感器阵列用于多重苯胺和酚类污染物检测。

A colorimetric supramolecular sensor array based on charge-transfer complexes for multiplex aniline and phenolic pollutants detection.

机构信息

Key Laboratory of Macrocyclic and Supramolecular Chemistry of Guizhou Province, Guizhou University, Guiyang, 550025, China.

Department College of Tobacco Science, Guizhou University, Guiyang, 550025, China.

出版信息

Anal Chim Acta. 2022 Nov 15;1233:340504. doi: 10.1016/j.aca.2022.340504. Epub 2022 Oct 11.

Abstract

In order to effectively monitor toxic and harmful substances in sewage discharge, a rapid, highly sensitive detection of complex pollutants with similar structures has become an urgent problem to be solved. In this paper, a supramolecular colorimetric array sensor based on charge-transfer complex was constructed, which can quickly detect aniline and phenol pollutants (such as p-phenylenediamine, m-phenylenediamine, o-phenylenediamine, m-aminophenol, hydroquinone, and resorcinol) with similar structures. When six anilines and phenol isomers with similar structures were added to the supramolecular colorimetric array sensor, different color changes were produced under natural light. Linear discriminant analysis (LDA) showed that the supramolecular colorimetric array sensor could recognize and distinguish these isomers, and a mixture with different concentration ratios could be well categorized. The total Euclidean distance (TED) of an array with pollutant concentrations had a good linear correlation, and the detection limit (LOD) was as low as 10-10 mol L. Six anilines and phenol isomers in real samples were identified by supramolecular colorimetric array sensor. H NMR results showed that the formation of charge transfer complexes in Q[8] cavity may be the cause of color change. This work provides a fast and convenient experimental basis for monitoring the complex structure pollutants in sewage discharge.

摘要

为了有效监测污水排放中的有毒有害物质,快速、高灵敏度地检测具有相似结构的复杂污染物已成为亟待解决的问题。本文构建了一种基于电荷转移配合物的超分子比色阵列传感器,可快速检测苯胺和酚类污染物(如对苯二胺、间苯二胺、邻苯二胺、间氨基酚、对苯二酚和间苯二酚)。当将六种具有相似结构的苯胺和酚类同分异构体加入超分子比色阵列传感器中时,在自然光下会产生不同的颜色变化。线性判别分析(LDA)表明,超分子比色阵列传感器可以识别和区分这些同分异构体,并可以很好地对不同浓度比的混合物进行分类。具有污染物浓度的阵列的总欧几里得距离(TED)具有良好的线性相关性,检测限(LOD)低至 10-10 mol L。通过超分子比色阵列传感器鉴定了实际样品中的六种苯胺和酚类同分异构体。1 H NMR 结果表明,Q[8]空腔中形成的电荷转移配合物可能是颜色变化的原因。这项工作为监测污水排放中复杂结构污染物提供了快速便捷的实验依据。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验