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Unlocking the full power of electrochemical fingerprinting for on-site sensing applications

机译:在现场感测应用中解锁电化学指纹识别的全功率

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摘要

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.
机译:用于半定量检测的生物标志物,药物,环境污染物,食品添加剂等的电化学感测表明,在护理点诊断和现场监测方面的有希望结果。更具体地,基于电化学指纹(EF)的感测策略被认为是对低分子量分子的现场检测的邀请方法。电化学传感器的快速生长需要定义在感测中的直接电化学指纹识别。 EF可以定义为独特的电化学信号或图案,主要通过伏安技术记录,特定于某种分子,其可用于具有特定情况的给定分析背景下的定量或半定量鉴定。通过考虑信号(即氧化或还原图案)的多种特征,可以与统计数据分析或样品预处理结合或包括电极表面改性剂来增强基于EF的传感器的性能,或者通过电极表面改性剂来富含EF。在本手稿中,讨论了基于EF的传感器,改进性能的策略以及开放挑战的一些示例,以解锁用于现场感测应用的电化学指纹识别的全功率。

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