Navigating iR Compensation: Practical Considerations for Accurate Study of Oxygen Evolution Catalytic Electrodes
Navigating iR Compensation: Practical Considerations for Accurate Study of Oxygen Evolution Catalytic Electrodes
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导航 iR 补偿:准确研究析氧催化电极的实际考虑因素
DOI:
10.1021/acsenergylett.3c01658
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发表时间:
2023
影响因子:
22
通讯作者:
Mullins, C. Buddie
中科院分区:
文献类型:
--
作者:
Son, Yoon Jun;Marquez, Raul A.;Kawashima, Kenta;Smith, Lettie A.;Chukwuneke, Chikaodili E.;Babauta, Jerome;Mullins, C. Buddie
In a three-electrode electrochemical system, uncompen-sated resistance (Ru) between the working and reference electrodes results in an electrostatic potential drop called iR potential drop, where i is a measured current. 1, 2 This iR potential drop skews the applied potential, meaning the potential set by the electrochemist is not the true applied potential. Thus, iR compensation needs to be performed to study the potential-dependent electrochemical behavior precisely. There are three commonly used methods for iR compensation:(1) positive feedback (PF),(2) current interrupt (CI), and (3) post-iR compensation after electrochemical analysis (Post). 3, 4 For the Ru measurement, alternating current (AC) technique-based electrochemical impedance spectroscopy (EIS) analysis, either automatically by software or manually, is used for PF and Post compensation methods. On the other hand, direct current (DC) techniquebased current interruption is used for the CI compensation method (see Supporting Note 1 for details about the Ru measurement and iR compensation methods). 3 However, despite the common use of the aforementioned compensation methods, there is a potential risk of performing inaccurate iR compensation that may lead to misleading results. This risk can arise from a lack of understanding of the underlying concepts and experimental and analytical methodologies involved in these compensation methods. Numerous studies and reviews have been conducted to address the concerns related to iR compensation. These studies focus on topics such as the identity of Ru and i, 5, 6 measurement and selection of Ru, 2, 6 minimization of Ru, 2 overcompensation of iR potential drop, 7 ambiguity about the degree of iR compensation, 8 inconsistent results from different iR compensation methods, 4 and data processing for post iR compensation. 7 Nevertheless, the practical application of iR compensation, in terms of accurate measurement and interpretation of Ru, selection of an appropriate iR compensation method, and understanding their effects on electrochemical analyses, as depicted in Figure 1, remains a challenging task. This is primarily due to the complexity of various electrochemical systems. Depending on factors such as the specific electrochemical reaction (eg, water electrolysis and CO2 electrolysis), electrode properties (eg, composition and structure), and experimental conditions for electrochemical testing (eg, electrolyte, cell design, applied potential, and operating current), the physical identity of Ru and its compatibility with a particular iR compensation method can vary significantly.The three-electrode alkaline oxygen evolution reaction (OER) system presents several unique characteristics that should be considered when applying iR compensation. First, alkaline OER electrocatalysts based on 3d-transition metals (eg, Ni, Co, and Fe) commonly form hydrous metal (oxy) hydroxides (MOxHy) during the OER. 9− 12 These MOxHy phases typically exhibit low electrical conductivity and become more conductive after the anodic redox reaction (M2+/M3+). 2 In addition, the solution resistance, which conventionally represents Ru, remains constant and relatively small (around 2 Ω) due to the highly ionic conductive electrolytes (eg, 1 M KOH) and the short distance between the working and reference electrodes. 2 Accordingly, the resistance on the working electrode side can become a relatively significant component of Ru compared to other electrochemical systems with significant solution resistance (eg, CO2 reduction in 0.1 M KHCO3). 4 Considering these factors, Ru in the alkaline OER system can consist of four main components, as …
影响因子:
22
作者:
Weiran Zheng
通讯作者:
Weiran Zheng
影响因子:
8.5
作者:
Yoon Jun Son;Kenta Kawashima;Raúl A. Márquez;Lettie A. Smith;C. Chukwuneke;C. Mullins
通讯作者:
Yoon Jun Son;Kenta Kawashima;Raúl A. Márquez;Lettie A. Smith;C. Chukwuneke;C. Mullins
影响因子:
12.9
作者:
Yoon Jun Son;Seonwoo Kim;V. Leung;Kenta Kawashima;Jungchul Noh;Kihoon Kim;Raúl A. Márquez;Omar A
通讯作者:
Yoon Jun Son;Seonwoo Kim;V. Leung;Kenta Kawashima;Jungchul Noh;Kihoon Kim;Raúl A. Márquez;Omar A