论文标题
七个步骤,用于确定双层电容的可靠循环伏安法测量
Seven steps to reliable cyclic voltammetry measurements for the determination of double layer capacitance
论文作者
论文摘要
发现用于高性能能量转换和存储应用的电催化材料取决于其内在活性的适当表征,目前,该活动的缺乏限制了协议的缺乏,以一致,精确地确定双层电容(CDL)。本文中,我们提出了一种七步方法,旨在通过扫描速率依赖性循环伏安法可靠地确定CDL。该方法认为三个方面强烈影响分析结果:测量设置,数据收集和数据处理。为了说明所提出的方法,研究了两个系统:电阻器电路和电化学电池中的玻璃碳盘。通过这些研究,当忽略了该过程的任何方面时,在调查的电化学系统的情况下,观察到结果的实质性偏差,误解为61%。此外,我们提出了相应的模型比线性回归更合适的模型,用于确定所研究的理想和非理想系统的CDL。我们强调了评估不仅高度专业化的电化学方法的准确性的重要性,而且还要评估那些众所周知且常用的方法的重要性。本文提出的方法不仅限于CDL的确定,还可以有效地应用于旨在提供定量结果的任何其他基于伏安法的分析。
Discovery of electrocatalytic materials for high-performance energy conversion and storage applications relies on the adequate characterization of their intrinsic activity, which is currently hindered by the dearth of a protocol for consistent and precise determination of double layer capacitance (CDL). Herein, we propose a seven-step method that aims to determine CDL reliably by scan rate-dependent cyclic voltammetry. The method considers three aspects that strongly influence the outcome of the analysis: measurement settings, data collection, and data processing. To illustrate the proposed method, two systems were studied: a resistor-capacitor electric circuit and a glassy carbon disk in an electrochemical cell. With these studies it is demonstrated that when any of the mentioned aspects of the procedure are neglected, substantial deviations of the results are observed with misestimations as large as 61% in the case of the investigated electrochemical system. Moreover, we propose allometric regression as a more suitable model than linear regression for the determination of CDL for both the ideal and the non-ideal systems investigated. We stress the importance of assessing the accuracy of not only highly specialized electrochemical methods, but also of those that are well-known and commonly used as it is the case of the voltammetric methods. The methodology proposed herein is not limited to the determination of CDL, but can be effectively applied to any other voltammetry-based analysis that aims to deliver quantitative results.