Evidence map›Paper›PMID 34108735›Full record

ArticleJournal of the Electrochemical Society2021

Review-Recent Advances in FSCV Detection of Neurochemicals via Waveform and Carbon Microelectrode Modification.

Harmain Rafi, Alexander G Zestos

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Electrochemical Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Editorial: Carbon microelectrodes for neurochemical sensing.Frontiers in bioengineering and biotechnology · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Waveform Optimization for theACS measurement science au · 2024
    Article
  14. Surface-Roughened Graphene Oxide Microfibers Enhance Electrochemical Reversibility.Langmuir : the ACS journal of surfaces and colloids · 2024
    Article
  15. Article
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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.

Harmain RafiDepartment of Chemistry, American University, Washington, DC 20016, United States of America.ORCID 0000-0003-2113-3366
Alexander G ZestosDepartment of Chemistry, American University, Washington, DC 20016, United States of America.ORCID 0000-0002-4804-4278
American University · US

Funding

Multielectrode Arrays for Neurotransmitter Detection with Fast Scan Cyclic VoltammetryR41NS113702 · NINDS · MICROPROBES FOR LIFE SCIENCE, INC. · PI ZESTOS, ALEXANDROS GEORGE · 2019 to 2019
$145k
NINDS NIH HHS R41 NS113702
6 · The paper itself

Abstract

Fast scan cyclic voltammetry (FSCV) is an analytical technique that was first developed over 30 years ago. Since then, it has been extensively used to detect dopamine using carbon fiber microelectrodes (CFMEs). More recently, electrode modifications and waveform refinement have enabled the detection of a wider variety of neurochemicals including nucleosides such as adenosine and guanosine, neurotransmitter metabolites of dopamine, and neuropeptides such as enkephalin. These alterations have facilitated the selectivity of certain biomolecules over others to enhance the measurement of the analyte of interest while excluding interferants. In this review, we detail these modifications and how specializing CFME sensors allows neuro-analytical researchers to develop tools to understand the neurochemistry of the brain in disease states and provide groundwork for translational work in clinical settings.

Identifiers

PMID34108735
PMCPMC8186302
OpenAlexW3161311816

What OpenQuestion holds

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LicenceCC BY
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.