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Double-cavity nor-seco-cucurbit[10]uril-based supramolecular assembly for selective detection and removal of trinitrophenol

查看全文 作  者:Ran [1]Cen;Ming [1]Liu;Jiao [1]He;Dingwu [1]Pan;Lixia [1]Chen;Ying [1]Huang;Zhu [1]Tao;Xin [1]Xiao 高影响力作者 机构地区:[1]Key Laboratory of Macrocyclic and Supramolecular Chemistry of Guizhou Province,School of Chemistry and Chemical Engineering,Guizhou University,Guiyang 550025,China高影响力机构 出  处:《Chinese Chemical Letters》索引2023年第34卷第10期,共5页高影响力期刊 基  金:the support of the Natural Science Foundation of the Science and Technology Department of Guizhou Province(No.ZK-2021-024);the National Natural Science Foundation of China(No.22061009);the Innovation Program for High-level Talents of Guizhou Province(No.2016-5657)。 摘  要:The effective removal and selective detection of explosive and toxic pollutant trinitrophenol (TNP) is an attractive but challenging field.Herein,a double-cavity nor-seco-cucurbit[10]uril (ns-Q[10])-based supramolecular assembly 8-HQ@ns-Q[10]was fabricated and its structure was characterized by X-ray single crystal diffraction.In this assembly,the stoichiometric ratio of ns-Q[10]and 8-hydroxyquinoline (8-HQ) is 1:2,which is also attributed to the special double-cavity structure of ns-Q[10].The luminescence sensing experiments showed that 8-HQ@ns-Q[10]can be used as a good fluorescence-enhanced sensing material (enhanced 27-fold) for the rapid detection of explosives and the aqueous contaminant TNP,with a limit of detection (LOD) of 2.07×10^(-5)mol/L,without interference from other phenolic compounds.Furthermore,TNP can be efficiently removed in the presence of assembly 8-HQ@ns-Q[10],and the removal efficiency is more than 89%.Therefore,the supramolecular assembly 8-HQ@ns-Q[10],as a fluorescenceenhanced luminescence sensor and adsorption material,has rich research value and potential application prospect when applied to the detection and removal of TNP in aqueous environment. 关 键 词:Nor-seco-cucurbit[10]uril 8-Hydroxyquinoline Supramolecularassembly 2,4,6-Trinitrophenol REMOVAL Detection
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