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半导体电极上氧化还原活性吸附物的高斯定律分析:充电电流和法拉第电流不是独立的。

A Gauss's law analysis of redox active adsorbates on semiconductor electrodes: The charging and faradaic currents are not independent.

机构信息

Department of Chemistry, University of Michigan, Ann Arbor, MI 48105-1055.

Program in Applied Physics, University of Michigan, Ann Arbor, MI 48109-1055.

出版信息

Proc Natl Acad Sci U S A. 2022 Sep 6;119(36):e2202395119. doi: 10.1073/pnas.2202395119. Epub 2022 Aug 29.

Abstract

A detailed framework for modeling and interpreting the data in totality from a cyclic voltammetric measurement of adsorbed redox monolayers on semiconductor electrodes has been developed. A three-layer model consisting of the semiconductor space-charge layer, a surface layer, and an electrolyte layer is presented that articulates the interplay between electrostatic, thermodynamic, and kinetic factors in the electrochemistry of a redox adsorbate on a semiconductor. Expressions are derived that describe the charging and faradaic current densities individually, and an algorithm is demonstrated that allows for the calculation of the total current density in a cyclic voltammetry measurement as a function of changes in the physical properties of the system (e.g., surface recombination, dielectric property of the surface layer, and electrolyte concentration). The most profound point from this analysis is that the faradaic and charging current densities can be coupled. That is, the common assumption that these contributions to the total current are always independent is not accurate. Their interrelation can influence the interpretation of the charge-transfer kinetics under certain experimental conditions. More generally, this work not only fills a long-standing knowledge gap in electrochemistry but also aids practitioners advancing energy conversion/storage strategies based on redox adsorbates on semiconductor electrodes.

摘要

已经开发出一种详细的框架,用于从半导体电极上吸附的氧化还原单层的循环伏安测量中对整体数据进行建模和解释。提出了一个由半导体空间电荷层、表面层和电解质层组成的三层模型,阐明了在半导体上氧化还原吸附物的电化学中静电、热力学和动力学因素之间的相互作用。推导出了分别描述充电和法拉第电流密度的表达式,并展示了一种算法,该算法允许根据系统物理性质的变化(例如表面复合、表面层介电性质和电解质浓度)计算循环伏安测量中的总电流密度。从这个分析中得出的最重要的一点是,法拉第电流密度和充电电流密度可以耦合。也就是说,总电流的这些贡献总是相互独立的常见假设并不准确。它们的相互关系会影响在某些实验条件下对电荷转移动力学的解释。更一般地说,这项工作不仅填补了电化学中长期存在的知识空白,而且还为基于半导体电极上氧化还原吸附物的能量转换/存储策略的从业者提供了帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e58/9456767/f0e71e754b33/pnas.2202395119fig01.jpg

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