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Voltammetric Techniques: Linear-Scan (E vs Time)01:12

Voltammetric Techniques: Linear-Scan (E vs Time)

1.3K
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...
1.3K
Voltammetric Techniques: Cyclic Voltammetry01:10

Voltammetric Techniques: Cyclic Voltammetry

1.7K
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...
1.7K
Voltammetric Techniques: Pulse Voltammetry01:17

Voltammetric Techniques: Pulse Voltammetry

1.7K
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...
1.7K
Voltammetry: Overview01:20

Voltammetry: Overview

3.0K
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...
3.0K
Voltammetry: Stripping Methods01:13

Voltammetry: Stripping Methods

1.1K
Anodic Stripping Voltammetry (ASV), Cathodic Stripping Voltammetry (CSV), and Adsorptive Stripping Voltammetry (AdSV) are electrochemical techniques used to determine trace amounts of analytes in solution. These methods involve applying a potential to an electrode and measuring the resulting current.
Anodic Stripping Voltammetry (ASV)
ASV is used to determine metals and metalloids at trace levels. It involves two steps: deposition and stripping. First, a negative potential is applied to the...
1.1K
Voltammetry: Factors Affecting Measurements01:21

Voltammetry: Factors Affecting Measurements

622
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...
622

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Related Experiment Video

Updated: Feb 24, 2026

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
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Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

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Multivariate Curve Resolution for Signal Isolation from Fast-Scan Cyclic Voltammetric Data.

Justin A Johnson1, Josh H Gray1, Nathan T Rodeberg1

  • 1Department of Chemistry and ‡Neuroscience Center and Neurobiology Curriculum, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina 27599-3290, United States.

Analytical Chemistry
|August 26, 2017
PubMed
Summary
This summary is machine-generated.

Multivariate curve resolution-alternating least-squares (MCR-ALS) offers an alternative to principal component analysis-inverse least-squares (PCA-ILS) for analyzing fast-scan cyclic voltammetry (FSCV) data. MCR-ALS simplifies experiments by eliminating the need for separate training data while effectively isolating signals.

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Area of Science:

  • Electrochemistry
  • Analytical Chemistry
  • Chemometrics

Background:

  • Fast-scan cyclic voltammetry (FSCV) is crucial for in vivo neurotransmitter detection.
  • Principal Component Analysis-Inverse Least Squares (PCA-ILS) is a standard multivariate technique for FSCV signal isolation.
  • PCA-ILS requires separate training data, increasing experimental complexity and facing recent controversy.

Purpose of the Study:

  • To explore Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) as an alternative to PCA-ILS for FSCV data analysis.
  • To demonstrate MCR-ALS's ability to circumvent the need for separate training data.
  • To characterize approaches for developing meaningful MCR-ALS models for FSCV data.

Main Methods:

  • Investigated Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) for signal isolation in FSCV data.
  • Compared MCR-ALS performance against Principal Component Analysis-Inverse Least Squares (PCA-ILS).
  • Focused on MCR-ALS's reliance on temporal signatures and the application of constraints for model optimization.

Main Results:

  • MCR-ALS successfully isolates signals from FSCV data without requiring separate training datasets.
  • MCR-ALS demonstrated comparable results to PCA-ILS in signal isolation and interferent detection.
  • Established that MCR-ALS can be effectively deployed with careful parameter consideration and constraint imposition.

Conclusions:

  • MCR-ALS presents a viable alternative or supplement to PCA-ILS for FSCV signal isolation.
  • This method reduces experimental complexity by removing the need for explicit training data.
  • MCR-ALS offers a powerful tool for analyzing complex electrochemical data, particularly in neuroscience research.