Unimolecular Cucurbit[7]uril-Based Indicator Displacement Assay with Dual Signal-Readout for the Detection of Drugs

IF 3.4 Q2 CHEMISTRY, ANALYTICAL
Pierre Picchetti, Maria Vittoria Balli, Seth Baker, Nilima Manoj Kumar, Patrick Gruhs, Luca Prodi, Frank Biedermann
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引用次数: 0

Abstract

Point-of-care diagnostics relies on optical and electrochemical sensors to develop devices that are both compact and cost-effective. Therefore, the search for new design principles for chemosensors that enable multiple signal outputs is a particularly interesting concept. In this work, we present an unimolecular chemosensor based on cucurbit[7]uril that combines two signal readouts - namely fluorescent and electrochemical signals - in a single chemosensor design. This is achieved by utilizing the tunable fluorescence and the electrochemical properties of the reporter molecule, which depend on whether or not it is engulfed by the cucurbit[7]uril cavity in the absence or presence of the analyte. By setting up an assay using the dual readout chemosensor, illicit drug formulations containing pancuronium bromide or nicotine can be detected at low micromolar concentrations (0–100 μM). This assay is compatible with standard fluorescence plate readers and electrochemical devices, including commercially available screen-printed electrodes. Overall, the chemosensor presented in this study represents a significant advance in the development of cucurbit[7]uril chemosensors, characterized by multimodal detection capabilities. It uniquely combines traditional optical and electrochemical detection methods in a single molecular design.

Abstract Image

基于葫芦[7]脲的单分子指示剂位移测定法与双信号读出法检测药物
床旁诊断依赖于光学和电化学传感器,以开发结构紧凑、成本效益高的设备。因此,寻找能实现多信号输出的化学传感器的新设计原则是一个特别有趣的概念。在这项工作中,我们介绍了一种基于葫芦[7]脲的单分子化学传感器,它在单一化学传感器设计中结合了两种信号读出方式,即荧光信号和电化学信号。这是通过利用报告分子的可调荧光和电化学特性来实现的,这取决于报告分子是否被葫芦[7]脲空腔吞噬。通过使用双读出化学传感器建立检测方法,可以在低微摩尔浓度(0 - 100 μM)下检测含有泮库溴铵或尼古丁的非法药物制剂。这种检测方法与标准荧光平板阅读器和电化学装置兼容,包括市售的丝网印刷电极(SPE)。总之,本研究中介绍的化学传感器是葫芦素[7]脲化学传感器开发领域的一大进步,具有多模式检测能力。它在单一分子设计中独特地结合了传统的光学和电化学检测方法。
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来源期刊
CiteScore
2.60
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0.00%
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