Department of Chemistry and Biochemistry, The City College of New York, 160 Convent Avenue, New York, NY 10031, United States.
Department of Mathematics, University of Maryland, 4176 Campus Dr, College Park, MD 20742, United States.
J Colloid Interface Sci. 2021 Mar 15;586:597-600. doi: 10.1016/j.jcis.2020.10.127. Epub 2020 Nov 3.
For proper and fair comparison of the performance of Oxygen reduction reaction (ORR) electrocatalysts an un-biased method to determine an onset potential value is needed. Here we report an easy mathematical approach based on the second derivative of linear sweep voltammetry curves, referred to as a second order discrete differentiation method (SODDM) that allows to accurately provide the onset potential. Analysis of the published results showed that the reported values might be affected by an intrinsic human error associated with the application of the most common approaches addressed as a tangent method or those relaying on a visual estimation of the onset potential based on the shape of a linear scan voltammetry (LSV) curve. We have also demonstrated that by using SODDM, electrochemical data collected on different instruments by different researchers leads to comparable results in terms of the ORR onset potential values.
为了正确公平地比较氧还原反应（ORR）电催化剂的性能，需要一种无偏的方法来确定起始电位值。在这里，我们报告了一种基于线性扫描伏安曲线二阶导数的简单数学方法，称为二阶离散差分法（SODDM），该方法可以准确地提供起始电位。对已发表结果的分析表明，报告的值可能受到与最常用方法相关的内在人为错误的影响，这些方法被称为切线法或基于线性扫描伏安法（LSV）曲线形状的起始电位的视觉估计。我们还证明，通过使用 SODDM，不同研究人员在不同仪器上收集的电化学数据在 ORR 起始电位值方面可以得到可比的结果。
