用柔性点解耦活性固液界面的可变电容和扩散成分

IF 4.6 Q1 CHEMISTRY, ANALYTICAL ACS Measurement Science Au Pub Date : 2024-08-29 DOI:10.1021/acsmeasuresciau.4c00057
Liam Deehan, Ajeet Kumar Kaushik, Ganga Ram Chaudhary, Pagona Papakonstantinou, Nikhil Bhalla
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引用次数: 0

摘要

了解电极界面的电流传输特性对于优化生物/化学传感和储能等广泛应用中的设备性能至关重要。循环伏安法(CV)是研究界面特性,尤其是涉及氧化还原系统的界面特性的常用方法。然而,要区分电子运动对电容行为和扩散行为的贡献仍然具有挑战性。在本研究中,我们引入了一种称为挠点分析的技术,该技术使用单一的区分步骤来区分氧化还原反应过程中电极界面上的电容性和扩散性电子运动。我们的研究结果表明,电极表面的可变电容呈现出 10-6 (micro) Farad 数量级的正值和负值。这种方法让我们对界面电子动力学有了更清晰的认识,加强了对 CV 数据的解释,并有可能改进相关材料和设备的设计和优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Decoupling Variable Capacitance and Diffusive Components of Active Solid–Liquid Interfaces with Flex Points
Understanding the current transport characteristics of electrode interfaces is essential for optimizing device performance across a wide range of applications including bio-/chemical sensing and energy storage sectors. Cyclic voltammetry (CV) is a popular method for studying interfacial properties, particularly those involving redox systems. However, it remains challenging to differentiate between electron movements that contribute to capacitive and diffusive behaviors. In this study, we introduce a technique called flex point analysis, which uses a single differentiation step to separate capacitive and diffusive electron movements at the electrode interface during a redox reaction. Our results show that the variable capacitance at the electrode surface exhibited both positive and negative values on the order of 10–6 (micro) Farad. This approach provides a clearer understanding of interfacial electron dynamics, enhancing the interpretation of CV data and potentially improving the design and optimization of related materials and devices.
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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
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0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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