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Highly Fluorescent Pyrene-Functional Polystyrene Copolymer Nanofibers for Enhanced Sensing Performance of TNT

机译:高荧光P功能聚苯乙烯共聚物纳米纤维,增强TNT的传感性能

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摘要

A pyrene-functional polystyrene copolymer was prepared via 1,3-dipolar cydoaddition reaction (Sharpless-type click recation) between azide-functional styrene copolymer and 1-ethynylpyrene. Subsequently, nanofibers of pyrene-functional polystyrene copolymer were obtained by using electrospinning technique. The nanofibers thus obtained, found to preserve their parent fluorescence nature, confirmed the avoidance of aggregation during fiber formation. The trace detection of trinitrotoluene (TNT) in water with a detection limit of 5 nM was demonstrated, which is much lower than the maximum allowable limit set by the U.S. Environmental Protection Agency. Interestingly, the sensing performance was found to be selective toward TNT in water, even in the presence of higher concentrations of toxic metal pollutants such as Cd2+, Co2+, Cu2+, and Hg2+. The enhanced sensing performance was found to be due to the enlarged contact area and intrinsic nanoporous fiber morphology. Effortlessly, the visual colorimetric sensing performance can be seen by naked eye with a color change in a response time of few seconds. Furthermore, vapor-phase detection of TNT was studied, and the results are discussed herein. In terms of practical application, electrospun nanofibrous web of pyrene-functional polystyrene copolymer has various salient features including flexibility, reproducibility, and ease of use, and visual outputs increase their value and add to their advantage.
机译:通过叠氮化物官能的苯乙烯共聚物和1-乙炔基py之间的1,3-偶极环加成反应(无尖锐型点击反应)制备了functional官能的聚苯乙烯共聚物。随后,通过使用电纺丝技术获得了-官能聚苯乙烯共聚物的纳米纤维。如此获得的纳米纤维被发现保留了其母体荧光性质,证实了在纤维形成期间避免了聚集。证明了水中痕量的三硝基甲苯(TNT)的痕量检测限为5 nM,这远低于美国环境保护局设定的最大允许限度。有趣的是,即使在较高浓度的有毒金属污染物(例如Cd2 +,Co2 +,Cu2 +和Hg2 +)存在下,水中的TNT感测性能也具有选择性。发现增强的感测性能归因于扩大的接触面积和固有的纳米多孔纤维形态。可以毫不费力地用肉眼看到视觉比色传感性能,并在几秒钟的响应时间内发生颜色变化。此外,研究了TNT的气相检测,并在此讨论了结果。在实际应用中,of官能聚苯乙烯共聚物的静电纺丝纳米纤维网具有多种显着特征,包括柔韧性,可重复性和易用性,视觉输出增加了它们的价值并增加了它们的优势。

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