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合成具有高选择性和灵敏度的分子印迹染料-硅纳米复合材料:用于快速高效检测伏特加中τ-氟戊菊酯的荧光印迹传感器。

Synthesis of molecularly imprinted dye-silica nanocomposites with high selectivity and sensitivity: Fluorescent imprinted sensor for rapid and efficient detection of τ-fluvalinate in vodka.

机构信息

School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, P. R. China.

School of Material Science and Engineering, Jiangsu University, Zhenjiang, P. R. China.

出版信息

J Sep Sci. 2018 Apr;41(8):1880-1887. doi: 10.1002/jssc.201701142. Epub 2018 Mar 23.

Abstract

An imprinted fluorescent sensor was fabricated based on SiO nanoparticles encapsulated with a molecularly imprinted polymer containing allyl fluorescein. High fluorine cypermethirin as template molecules, methyl methacrylate as functional monomer, and allyl fluorescein as optical materials synthesized a core-shell fluorescent molecular imprinted sensor, which showed a high and rapid sensitivity and selectivity for the detection of τ-fluvalinate. The sensor presented appreciable sensitivity with a limit of 13.251 nM, rapid detection that reached to equilibrium within 3 min, great linear relationship in the relevant concentration range from 0 to 150 nM, and excellent selectivity over structural analogues. In addition, the fluorescent sensor demonstrated desirable regeneration ability (eight cycling operations). The molecularly imprinted polymers ensured specificity, while the fluorescent dyes provided the stabile sensitivity. Finally, an effective application of the sensor was implemented by the detection of τ-fluvalinate in real samples from vodka. The molecularly imprinted fluorescent sensor showed a promising potential in environmental monitoring and food safety.

摘要

基于含有丙烯基荧光素的分子印迹聚合物包被的 SiO2 纳米粒子,制备了一种印迹荧光传感器。以高氟氰戊菊酯为模板分子,甲基丙烯酸甲酯为功能单体,丙烯基荧光素为光学材料,合成了核壳型荧光分子印迹传感器,对τ-氟氰戊菊酯表现出高灵敏度和快速选择性。该传感器具有较高的灵敏度,检测限低至 13.251 nM,在 3 min 内达到平衡,在 0 至 150 nM 的相关浓度范围内具有良好的线性关系,对结构类似物具有优异的选择性。此外,该荧光传感器具有良好的再生能力(可进行 8 次循环操作)。分子印迹聚合物保证了特异性,而荧光染料则提供了稳定的灵敏度。最后,通过检测伏特加酒中真实样品的τ-氟氰戊菊酯,实现了传感器的有效应用。该分子印迹荧光传感器在环境监测和食品安全领域具有广阔的应用前景。

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