Evidence map›Paper›PMID 36700823›Full record

ArticleAnalytical chemistry2023

Modulating the Geometry of the Carbon Nanofiber Electrodes Provides Control over Dopamine Sensor Performance.

Ayesha Kousar, Ishan Pande, Laura F Pascual, Emilia Peltola, Jani Sainio, Tomi Laurila

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 2 institutions in 1 country.

Ayesha KousarDepartment of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, P.O. Box 13500, 00076 Aalto, Finland.ORCID 0000-0002-0483-2547
Ishan PandeDepartment of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, P.O. Box 13500, 00076 Aalto, Finland.ORCID 0000-0002-0033-5201
Laura F PascualDepartment of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, P.O. Box 13500, 00076 Aalto, Finland.
Emilia PeltolaDepartment of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, P.O. Box 13500, 00076 Aalto, Finland.ORCID 0000-0002-8868-9273
Jani SainioDepartment of Applied Physics, School of Science, Aalto University, P.O. Box 15100, 00076 Aalto, Finland.
Tomi LaurilaDepartment of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, P.O. Box 13500, 00076 Aalto, Finland.ORCID 0000-0002-1252-8764
Aalto University · FIUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the major challenges for in vivo electrochemical measurements of dopamine (DA) is to achieve selectivity in the presence of interferents, such as ascorbic acid (AA) and uric acid (UA). Complicated multimaterial structures and ill-defined pretreatments have been frequently utilized to enhance selectivity. The lack of control over the realized structures has prevented establishing associations between the achieved selectivity and the electrode structure. Owing to their easily tailorable structure, carbon nanofiber (CNF) electrodes have become promising materials for neurobiological applications. Here, a novel yet simple strategy to control the sensitivity and selectivity of CNF electrodes toward DA is reported. It consists of adjusting the lengths of CNF by modulating the growth phase during the fabrication process while keeping the surface chemistries similar. It was observed that the sensitivity of the CNF electrodes toward DA was enhanced with the increase in the fiber lengths. More importantly, the increase in the fiber length induced (i)

Indexed as

DopamineNanofibersAscorbic AcidCarbonElectrochemical TechniquesElectrodesOxidation-ReductionUric AcidAscorbic AcidCarbonDopamineUric Acid

Identifiers

PMID36700823
PMCPMC9909731
OpenAlexW4318170723

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.