AXES research group, University of Antwerp, Groenenborgerlaan 171, 2020, Antwerp, Belgium.
NanoLab Center of Excellence, University of Antwerp, Groenenborgerlaan 171, 2020, Antwerp, Belgium.
Anal Bioanal Chem. 2020 Sep;412(24):5955-5968. doi: 10.1007/s00216-020-02584-x. Epub 2020 Apr 4.
Electrochemical sensing for the semi-quantitative detection of biomarkers, drugs, environmental contaminants, food additives, etc. shows promising results in point-of-care diagnostics and on-site monitoring. More specifically, electrochemical fingerprint (EF)-based sensing strategies are considered an inviting approach for the on-site detection of low molecular weight molecules. The fast growth of electrochemical sensors requires defining the concept of direct electrochemical fingerprinting in sensing. The EF can be defined as the unique electrochemical signal or pattern, mostly recorded by voltammetric techniques, specific for a certain molecule that can be used for its quantitative or semi-quantitative identification in a given analytical context with specified circumstances. The performance of EF-based sensors can be enhanced by considering multiple features of the signal (i.e., oxidation or reduction patterns), in combination with statistical data analysis or sample pretreatments or by including electrode surface modifiers to enrich the EF. In this manuscript, some examples of EF-based sensors, strategies to improve their performances, and open challenges are discussed to unlock the full power of electrochemical fingerprinting for on-site sensing applications. Graphical abstract Electrochemical fingerprint-based sensing strategies can be used for the detection of electroactive analytes, such as antibiotics, phenolic compounds, and drugs of abuse. These strategies show selective and sensitive responses and are easily combined with portable devices.
电化学传感用于生物标志物、药物、环境污染物、食品添加剂等的半定量检测,在即时诊断和现场监测方面显示出很有前景的结果。更具体地说,基于电化学指纹(EF)的传感策略被认为是现场检测低分子量分子的一种有吸引力的方法。电化学传感器的快速发展需要定义传感中直接电化学指纹识别的概念。EF 可以定义为针对特定分子的独特电化学信号或模式,主要通过伏安技术记录,可用于在给定分析背景下,在特定情况下对其进行定量或半定量识别。通过考虑信号的多个特征(即氧化或还原模式),结合统计数据分析或样品预处理,或通过包含电极表面修饰剂来丰富 EF,可以提高基于 EF 的传感器的性能。在本文中,讨论了一些基于 EF 的传感器的例子、提高其性能的策略以及开放的挑战,以释放电化学指纹在现场传感应用中的全部潜力。