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基于共价和非共价识别单元协同作用的选择性增强比率荧光印迹传感器用于利巴韦林的超灵敏检测。

A selectivity-enhanced ratiometric fluorescence imprinted sensor based on synergistic effect of covalent and non-covalent recognition units for ultrasensitive detection of ribavirin.

机构信息

State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China.

School of Life Science, Shanxi University, Taiyuan 030006, China.

出版信息

J Hazard Mater. 2022 Jan 5;421:126748. doi: 10.1016/j.jhazmat.2021.126748. Epub 2021 Jul 27.

DOI:10.1016/j.jhazmat.2021.126748
PMID:34352525
Abstract

Development of methods with high selectivity and sensitivity for detection of trace ribavirin (RBV) is of great importance for environmental protection and food safety. Herein, we proposed a simple yet valid strategy to construct the highly selective ratiometric fluorescence sensing platform (BA-LMOFs@MIP) for analysis of RBV based on boric acid-functionalized lanthanide metal-organic framework (BA-LMOFs) coupled with molecularly imprinted polymer (MIP). In this strategy, BA-LMOFs featured with dual-emission and pH-responsive behavior were first synthesized as supporter. Benefiting from boric acid group of BA-LMOFs, RBV was easily immobilized onto its surface, taking advantage of template immobilization-based surface imprinting means to fabricate BA-LMOFs@MIP with dual recognition sites for the first time. The synergistic effect of covalent boronate affinity-based recognition unit and non-covalent imprinting sites enabled BA-LMOFs@MIP to exhibit superior selectivity and binding efficiency to RBV. BA-LMOFs as signal tag endowed BA-LMOFs@MIP with desirable sensitivity, photostability and hydrophilicity. More importantly, BA-LMOFs@MIP-based sensor displayed a wide linear range for RBV from 25 to 1200 ng mL with a detection limit down to 7.62 ng mL. The sensor was finally applied to RBV determination in real samples, and the obtained results revealed that BA-LMOFs@MIP would be a promising candidate for monitoring of RBV in complex systems.

摘要

发展高选择性和高灵敏度的方法来检测痕量利巴韦林(RBV)对于环境保护和食品安全至关重要。在此,我们提出了一种简单而有效的策略,基于硼酸功能化的镧系金属有机骨架(BA-LMOFs)与分子印迹聚合物(MIP)构建了高选择性的比率荧光传感平台(BA-LMOFs@MIP),用于分析 RBV。在该策略中,首先合成了具有双发射和 pH 响应行为的 BA-LMOFs 作为载体。BA-LMOFs 中的硼酸基团使其容易固定到其表面上,利用模板固定化表面印迹方法首次制备了具有双重识别位点的 BA-LMOFs@MIP。基于硼酸亲和的共价识别单元和非共价印迹位点的协同作用使 BA-LMOFs@MIP 对 RBV 表现出优异的选择性和结合效率。BA-LMOFs 作为信号标记物赋予了 BA-LMOFs@MIP 所需的灵敏度、光稳定性和亲水性。更重要的是,BA-LMOFs@MIP 基传感器对 RBV 的线性范围为 25 至 1200ng mL,检测限低至 7.62ng mL。该传感器最终应用于实际样品中 RBV 的测定,所得结果表明 BA-LMOFs@MIP 将是监测复杂体系中 RBV 的有前途的候选物。

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