Evidence map›Paper›PMID 36203493›Full record

ArticleACS applied nano materials2022

Porous Carbon Nanofiber-Modified Carbon Fiber Microelectrodes for Dopamine Detection.

Blaise J Ostertag, Michael T Cryan, Joel M Serrano, Guoliang Liu, Ashley E Ross

Open access · greenAbstract read
In one paragraph

Article in ACS applied nano materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Waveform Optimization for theACS measurement science au · 2024
    Article
  5. Surface-Roughened Graphene Oxide Microfibers Enhance Electrochemical Reversibility.Langmuir : the ACS journal of surfaces and colloids · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
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  12. Review
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 2 institutions in 1 country.

Blaise J OstertagUniversity of Cincinnati, Department of Chemistry, 312 College Dr., 404 Crosley Tower, Cincinnati, OH 45221-0172, USA.
Michael T CryanUniversity of Cincinnati, Department of Chemistry, 312 College Dr., 404 Crosley Tower, Cincinnati, OH 45221-0172, USA.
Joel M SerranoVirginia Polytechnic Institute and State University, Department of Chemistry, Macromolecules Innovation Institute, Division of Nanoscience, Academy of Integrated Science, 800 West Campus Dr., Blacksburg, VA, 2406, USA.
Guoliang LiuVirginia Polytechnic Institute and State University, Department of Chemistry, Macromolecules Innovation Institute, Division of Nanoscience, Academy of Integrated Science, 800 West Campus Dr., Blacksburg, VA, 2406, USA.
Ashley E RossUniversity of Cincinnati, Department of Chemistry, 312 College Dr., 404 Crosley Tower, Cincinnati, OH 45221-0172, USA.
University of Cincinnati · USVirginia Tech · US

Funding

Monitoring neurochemical signaling dynamics in the lymph nodeR01AI151552 · NIAID · UNIVERSITY OF CINCINNATI · PI ROSS, ASHLEY E · 2020 to 2024
$1.9M
NIAID NIH HHS R01 AI151552
6 · The paper itself

Abstract

We present a method to modify carbon-fiber microelectrodes (CFME) with porous carbon nanofibers (PCFs) to improve detection and to investigate the impact of porous geometry for dopamine detection with fast-scan cyclic voltammetry (FSCV). PCFs were fabricated by electrospinning, carbonizing, and pyrolyzing poly(acrylonitrile)-

Indexed as

carbon nanomaterialcatecholamineelectrochemistryelectrode modificationporous carbon

Identifiers

PMID36203493
PMCPMC9531868
OpenAlexW4206993083

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.