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Related Concept Videos

Voltammetric Techniques: Cyclic Voltammetry01:10

Voltammetric Techniques: Cyclic Voltammetry

1.4K
Cyclic voltammetry (CV) is an electrochemical technique used to investigate the redox properties of a chemical species. It involves measuring the current response of an electrochemical cell as a function of the applied potential. The setup for cyclic voltammetry typically consists of a working electrode, a reference electrode, and a counter electrode—all immersed in an electrolyte solution. The working electrode is where the redox reaction of interest occurs, while the reference electrode...
1.4K
Voltammetry: Overview01:20

Voltammetry: Overview

2.7K
Voltammetry is an electroanalytical technique in which the current flowing through an electrochemical cell is measured as a function of applied potential, typically under conditions of concentration polarization. The technique provides valuable information about redox-active species, and the current response is plotted as a voltammogram.
A voltammetric cell uses three electrodes: a working electrode, a reference electrode, and an auxiliary electrode. The redox reactions occur in the working...
2.7K
Electrogravimetric Analysis: Overview01:30

Electrogravimetric Analysis: Overview

689
Electrogravimetric analysis measures the weight of an analyte deposited electrolytically onto a suitable working electrode. This method involves applying a potential to a pre-weighed electrode submerged in a solution, which results in the desired substance being deposited through reduction at the cathode or oxidation at the anode. The electrode's weight is recorded after deposition, and the difference in weight gives the analyte's weight in the solution.
To test the completeness of the...
689
Controlled-Potential Coulometry: Electrolytic Methods01:17

Controlled-Potential Coulometry: Electrolytic Methods

590
Controlled-potential coulometry, also known as potentiostatic coulometry, employs a three-electrode system in which the working electrode's potential is precisely regulated using a potentiostat. Platinum working electrodes are utilized for positive potentials, while mercury pool electrodes are favored for extremely negative potentials. The platinum counter electrode is separated from the analyte using a membrane or salt bridge to avoid interference in the analysis.
The chosen potential...
590
Voltammetric Techniques: Pulse Voltammetry01:17

Voltammetric Techniques: Pulse Voltammetry

1.3K
Differential-pulse voltammetry (DPV) is a type of voltammetry that involves applying a series of voltage pulses to an electrochemical cell while measuring the resulting current. In DPV, the differential pulse or small potential pulses are superimposed on a linear potential sweep. The magnitude of these pulses is typically small, often in the millivolt range. Each voltage pulse lasts a short duration, usually in the order of a few milliseconds, and is applied at regular intervals along the...
1.3K
Voltammetry: Factors Affecting Measurements01:21

Voltammetry: Factors Affecting Measurements

480
A current produced due to the redox reactions of the analyte at the working and auxiliary electrodes is called a faradaic current. The reaction can be divided into two types. The current generated due to the reduction of the analyte is called cathodic current, and it carries a positive charge. In contrast, the current produced by analyte oxidation is known as an anodic current, and it has a negative charge. The applied potential at the working electrode determines the faradaic current flow, and...
480

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Electrochemical Roughening of Thin-Film Platinum Macro and Microelectrodes
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Universal Algorithm for Simulating and Evaluating Cyclic Voltammetry at Macroporous Electrodes by Considering Random

Tim Tichter1, Jonathan Schneider1, Dirk Andrae2

  • 1Freie Universität Berlin Institut für Chemie und Biochemie, Takustr. 3, 14195, Berlin, Germany.

Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
|December 17, 2019
PubMed
Summary

A new algorithm simulates cyclic voltammetry (CV) at macroporous electrodes, enabling accurate analysis of complex electrochemical systems. This tool aids researchers in understanding and optimizing electrochemical reactions in various materials.

Keywords:
convolutioncyclic voltammetrydiffusionmodified Talbot contourporous electrodes

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Area of Science:

  • Electrochemistry
  • Computational Chemistry
  • Materials Science

Background:

  • Cyclic voltammetry (CV) is a crucial technique for studying electrochemical reactions.
  • Simulating CV at macroporous electrodes (felts, foams) presents challenges due to complex diffusion domains.
  • Existing models often lack the flexibility to handle diverse electrode geometries and reaction kinetics.

Purpose of the Study:

  • To develop a universal algorithm for simulating and evaluating cyclic voltammetry (CV) at macroporous electrodes.
  • To approximate internal diffusion domains in various 1D, 2D, and 3D electrode structures.
  • To provide an open-source computational tool for CV data analysis.

Main Methods:

  • Developed a simulation algorithm based on Laplace integral transformation techniques.
  • Employed a modified Talbot contour for inverse Laplace transformation.
  • Incorporated 1D, 2D, and 3D electrode arrays, microelectrodes, and hollow structures.
  • Included first-order homogeneous chemical kinetics and non-equal diffusion coefficients.

Main Results:

  • Successfully simulated time-dependent surface concentrations for various electrode geometries.
  • Validated the algorithm using experimental CV data for [Fe(CN)6]4- oxidation at platinum and VO2+ oxidation at carbon felt.
  • Demonstrated the algorithm's capability to handle complex electrochemical reactions with preceding/following chemical kinetics.

Conclusions:

  • The presented algorithm provides a powerful and versatile tool for simulating and evaluating CV data from macroporous electrodes.
  • The open-source Python GUI facilitates accessibility and application in research and development.
  • This work advances the understanding and computational modeling of electrochemical processes in complex electrode architectures.