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An In Situ Electrode Calibration Strategy for Voltammetric Measurements In Vivo

机译:体内伏安测量的原位电极校准策略

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摘要

Technological advances have allowed background-subtracted fast-scan cyclic voltammetry to emerge as a powerful tool for monitoring molecular fluctuations in living brain tissue; however, there has been little progress to date in advancing electrode calibration procedures. Variability in the performance of these handmade electrodes renders calibration necessary for accurate quantification; however, experimental protocol makes standard post-calibration difficult, or in some cases impossible. We have developed a model that utilizes information contained in the background charging current to predict electrode sensitivity to dopamine, ascorbic acid, hydrogen peroxide, and pH shifts at any point in an electrochemical experiment. Analysis determined a high correlation between predicted sensitivity and values obtained using the traditional post-calibration method, across all analytes. To validate this approach in vivo, calibration factors obtained with this model at electrodes in brain tissue were compared to values obtained at these electrodes using a traditional ex vivo calibration. Both demonstrated equal powers of predictability for dopamine concentrations. This advance enables in situ electrode calibration, allowing researchers to track changes in electrode sensitivity over time and eliminating the need to generalize calibration factors between electrodes or across multiple days in an experiment.
机译:技术的进步使得扣除背景的快速扫描循环伏安法成为监测活脑组织分子波动的有力工具。然而,迄今为止,在进行电极校准程序方面进展甚微。这些手工电极的性能差异使得需要进行校准以进行准确的定量;然而,实验方案使标准的后校准变得困难,或者在某些情况下是不可能的。我们已经开发了一种模型,该模型利用背景充电电流中包含的信息来预测电极在电化学实验中对多巴胺,抗坏血酸,过氧化氢和pH值变化的敏感性。分析确定了在所有分析物上的预测灵敏度与使用传统后校准方法获得的值之间的高度相关性。为了在体内验证该方法,将使用该模型在脑组织电极处获得的校准因子与使用传统离体校准在这些电极处获得的值进行比较。两者都证明了多巴胺浓度的可预测性具有相等的功效。这项先进的技术可以实现电极的原位校准,从而使研究人员能够跟踪电极灵敏度随时间的变化,并且无需在实验中概括电极之间或几天内的校准系数。

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