Evidence map›Paper›PMID 31922176›Full record

ReviewThe Analyst2020

Fundamentals of fast-scan cyclic voltammetry for dopamine detection.

B Jill Venton, Qun Cao

Open access · greenAbstract readReview
In one paragraph

Review in The Analyst, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers.

0numbers the graph read from it
0cells of the map it votes in
159citing papers in PubMed
15.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

159 citing papers in PubMed, 340 citations in OpenAlex.

  1. Article
  2. Altered striatal dopamine regulation in Adgrl3 knockout mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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99 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

B Jill VentonDept. of Chemistry, University of Virginia, PO Box 400319, Charlottesville, VA 22901, USA. jventon@virginia.edu.
Qun Cao
Charlottesville Medical Research · US

Funding

Real-Time Measurements of Neurotransmission in Drosphilia melanogasterR01MH085159 · NIMH · UNIVERSITY OF VIRGINIA · PI B. JILL VENTON · 2009 to 2026
$5.9M
Tunable Carbon Electrodes for in vivo Neurotransmitter DetectionR01EB026497 · NIBIB · UNIVERSITY OF VIRGINIA · PI VENTON, B. JILL · 2018 to 2021
$1.4M
NIBIB NIH HHS R01 EB026497NIMH NIH HHS R01 MH085159
6 · The paper itself

Abstract

Fast-scan cyclic voltammetry (FSCV) is used with carbon-fiber microelectrodes for the real-time detection of neurotransmitters on the subsecond time scale. With FSCV, the potential is ramped up from a holding potential to a switching potential and back, usually at a 400 V s-1 scan rate and a frequency of 10 Hz. The plot of current vs. applied potential, the cyclic voltammogram (CV), has a very different shape for FSCV than for traditional cyclic voltammetry collected at scan rates which are 1000-fold slower. Here, we explore the theory of FSCV, with a focus on dopamine detection. First, we examine the shape of the CVs. Background currents, which are 100-fold higher than faradaic currents, are subtracted out. Peak separation is primarily due to slow electron transfer kinetics, while the symmetrical peak shape is due to exhaustive electrolysis of all the adsorbed neurotransmitters. Second, we explain the origins of the dopamine waveform, and the factors that limit the holding potential (oxygen reduction), switching potential (water oxidation), scan rate (electrode instability), and repetition rate (adsorption). Third, we discuss data analysis, from data visualization with color plots, to the automated algorithms like principal components regression that distinguish dopamine from pH changes. Finally, newer applications are discussed, including optimization of waveforms for analyte selectivity, carbon nanomaterial electrodes that trap dopamine, and basal level measurements that facilitate neurotransmitter measurements on a longer time scale. FSCV theory is complex, but understanding it enables better development of new techniques to monitor neurotransmitters in vivo.

Indexed as

AnimalsData AnalysisDopamineElectrochemistryHumansTime FactorsDopamine

Identifiers

PMID31922176
PMCPMC7028514
OpenAlexW2997325579

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.