Tracking Carbon Microelectrode Impedance during Fast-Scan Cyclic Voltammetry

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Carl J. Meunier, Gregory S. McCarty and Leslie A. Sombers*, 
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引用次数: 0

Abstract

Fast-scan cyclic voltammetry (FSCV) is a powerful technique for monitoring rapid neurochemical fluctuations in living animals. When paired with permanently implanted carbon-fiber microelectrodes, changes in neurochemical dynamics can be monitored over months and related to changes in behavior. However, the performance and electrical properties of handmade microelectrodes are variable and impacted by the biological response to implantation and the physical and chemical diversity of recording environments. These factors collectively impact calibration factors and the shape of the cyclic voltammograms (CVs) that are used for analyte quantification and identification. We previously reported that model RC circuits of variable impedance could be utilized to mimic the observed shifts in FSCV performance that develop in vivo. In this work, an electrochemical impedance spectroscopy (EIS) measurement was incorporated within each voltammetric sweep to provide information on rapid changes in impedance, reactance, and capacitance that impact the electrochemical system during the FSCV experiment. The data, which were collected using standard FSCV equipment, quantify large shifts in these parameters upon implantation in tissue. These shifts were largely mitigated by electrochemical conditioning, as reflected in the voltammetric data. This paired FSCV:EIS paradigm can be used to inform users regarding changes in electrochemical performance that occur at any point during an in vivo experiment, representing a significant step toward in situ calibration strategies and improved accuracy in data analysis.

Abstract Image

在快速扫描循环伏安法中跟踪碳微电极阻抗
快速扫描循环伏安法(FSCV)是一种监测活体动物神经化学快速波动的强大技术。当与永久植入的碳纤维微电极配对时,可以在几个月内监测神经化学动力学的变化,并与行为的变化有关。然而,手工微电极的性能和电学特性是可变的,并受到植入的生物反应和记录环境的物理和化学多样性的影响。这些因素共同影响用于分析物定量和鉴定的校准因素和循环伏安图(cv)的形状。我们之前报道了可变阻抗的模型RC电路可以用来模拟观察到的FSCV性能在体内发展的变化。在这项工作中,电化学阻抗谱(EIS)测量被纳入到每次伏安扫描中,以提供在FSCV实验期间影响电化学系统的阻抗、电抗和电容的快速变化信息。使用标准FSCV设备收集的数据量化了这些参数在植入组织后的大变化。正如伏安数据所反映的那样,这些变化在很大程度上被电化学调节所缓解。这种配对的FSCV:EIS模式可用于告知用户在体内实验过程中任何时刻发生的电化学性能变化,这是向原位校准策略和提高数据分析准确性迈出的重要一步。
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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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