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Related Concept Videos

Voltammetric Techniques: Cyclic Voltammetry01:10

Voltammetric Techniques: Cyclic Voltammetry

626
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...
626
Electrogravimetric Analysis: Overview01:30

Electrogravimetric Analysis: Overview

300
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...
300
Voltammograms: Overview01:16

Voltammograms: Overview

262
Voltammograms are current plots as a function of applied potential, offering insights into electrochemical systems. The shape of a voltammogram depends on how the current is measured and whether convection (heat transfer by fluid movement) is present or absent.
Shapes of Voltammograms
262
Voltammetric Techniques: Linear-Scan (E vs Time)01:12

Voltammetric Techniques: Linear-Scan (E vs Time)

463
Polarography is a classical voltammetric technique used to analyze electrochemical reactions. This method applies a linear potential sweep to a dropping mercury electrode (DME), and the resulting current is measured. A dropping mercury electrode is commonly used as the working electrode in polarography. It consists of a capillary tube filled with mercury, where the tiny droplet forms at the tip. This droplet continuously drops from the capillary, creating a new electrode surface for each...
463
Voltammetry: Overview01:20

Voltammetry: Overview

1.9K
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...
1.9K
Voltammetry: Factors Affecting Measurements01:21

Voltammetry: Factors Affecting Measurements

194
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...
194

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Related Experiment Video

Updated: Aug 16, 2025

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds
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Electrochemical Mechanistic Analysis from Cyclic Voltammograms Based on Deep Learning.

Benjamin B Hoar1, Weitong Zhang2, Shuangning Xu1

  • 1Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, California 90095, United States.

ACS Measurement Science Au
|December 27, 2022
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Summary

Researchers can now automatically analyze cyclic voltammograms using a new deep-learning algorithm. This tool identifies electrochemical mechanisms, aiding complex analyses and enabling high-throughput electrochemistry research.

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Area of Science:

  • Electrochemistry
  • Computational Chemistry
  • Machine Learning

Background:

  • Cyclic voltammetry (CV) is a cornerstone technique for electrochemical mechanism elucidation.
  • Manual interpretation of CV data is time-consuming and subjective, limiting throughput and potentially overlooking subtle features.
  • Complex electrochemical systems often present challenges for traditional analysis methods.

Purpose of the Study:

  • To develop and validate a deep-learning-based algorithm for the automated analysis of cyclic voltammograms.
  • To enable rapid and objective identification of common electrochemical mechanisms in homogeneous molecular electrochemistry.
  • To facilitate the study of gradual mechanism transitions and complex electrochemical systems.

Main Methods:

  • A deep-learning algorithm was trained to analyze cyclic voltammograms.
  • The algorithm was designed to classify voltammograms into one of five common electrochemical mechanisms.
  • The algorithm's performance was evaluated on its ability to accurately designate probable mechanisms.

Main Results:

  • The developed algorithm automatically analyzes cyclic voltammograms.
  • It accurately designates probable electrochemical mechanisms among five common types.
  • The algorithm can identify subtle features and gradual transitions in voltammograms.

Conclusions:

  • Automated analysis of cyclic voltammograms using deep learning significantly enhances mechanistic investigations.
  • This approach aids in analyzing complex electrochemical systems and supports high-throughput research.
  • The algorithm promises to accelerate discoveries in electrochemistry by minimizing manual data interpretation.