Evidence map›Paper›PMID 32093345›Full record

ArticleSensors (Basel, Switzerland)2020

Carbon Nanotube Yarn Microelectrodes Promote High Temporal Measurements of Serotonin Using Fast Scan Cyclic Voltammetry.

Alexander Mendoza, Thomas Asrat, Favian Liu, Pauline Wonnenberg, Alexander G Zestos

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 60 citations in OpenAlex.

  1. Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Pyrolyzed Parylene-N forACS electrochemistry · 2025
    Article
  4. Review
  5. Surface-Roughened Graphene Oxide Microfibers Enhance Electrochemical Reversibility.Langmuir : the ACS journal of surfaces and colloids · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. The Analyst · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. A Straightforward Approach to Create Ag/SWCNT Composites.Materials (Basel, Switzerland) · 2021
    Article
  20. Article
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

5 authors at 1 institution in 1 country.

Alexander MendozaDepartment of Chemistry and Center for Behavioral Neuroscience, American University, Washington, DC 20016, USA.
Thomas AsratDepartment of Chemistry and Center for Behavioral Neuroscience, American University, Washington, DC 20016, USA.
Favian LiuDepartment of Chemistry and Center for Behavioral Neuroscience, American University, Washington, DC 20016, USA.ORCID 0000-0001-7014-2678
Pauline WonnenbergDepartment of Chemistry and Center for Behavioral Neuroscience, American University, Washington, DC 20016, USA.ORCID 0000-0003-2819-0187
Alexander G ZestosDepartment of Chemistry and Center for Behavioral Neuroscience, American University, Washington, DC 20016, USA.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
American University Faculty Research Support GrantNational Science Foundation 1625977National Science Foundation 1936173NIH HHS 1R41NS113702-01NINDS NIH HHS R41 NS113702
6 · The paper itself

Abstract

Carbon fiber-microelectrodes (CFMEs) have been the standard for neurotransmitter detection for over forty years. However, in recent years, there have been many advances of utilizing alternative nanomaterials for neurotransmitter detection with fast scan cyclic voltammetry (FSCV). Recently, carbon nanotube (CNT) yarns have been developed as the working electrode materials for neurotransmitter sensing capabilities with fast scan cyclic voltammetry. Carbon nanotubes are ideal for neurotransmitter detection because they have higher aspect ratios enabling monoamine adsorption and lower limits of detection, faster electron transfer kinetics, and a resistance to surface fouling. Several methods to modify CFMEs with CNTs have resulted in increases in sensitivity, but have also increased noise and led to irreproducible results. In this study, we utilize commercially available CNT-yarns to make microelectrodes as enhanced neurotransmitter sensors for neurotransmitters such as serotonin. CNT-yarn microelectrodes have significantly higher sensitivities (peak oxidative currents of the cyclic voltammograms) than CFMEs and faster electron transfer kinetics as measured by peak separation (Δ

Indexed as

ElectrochemistryMicroelectrodesNanotubes, CarbonSerotoninNanotubes, CarbonSerotonincarbon nanotubecarbon nanotube yarnelectrochemistryfast scan cyclic voltammetryserotonin

Identifiers

PMID32093345
PMCPMC7070315
OpenAlexW3008141868

What OpenQuestion holds

Textmetadata
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.