Evidence map›Paper›PMID 36595035›Full record

ArticleAnalytical and bioanalytical chemistry2023

Electrodeposition of dopamine onto carbon fiber microelectrodes to enhance the detection of Cu

Noel Manring, Muzammil M N Ahmed, Jessica L Smeltz, Pavithra Pathirathna

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Noel ManringDepartment of Biomedical & Chemical Engineering & Sciences, Florida Institute of Technology, 150 W. University Blvd, Melbourne, FL, 32901, USA.
Muzammil M N AhmedDepartment of Biomedical & Chemical Engineering & Sciences, Florida Institute of Technology, 150 W. University Blvd, Melbourne, FL, 32901, USA.
Jessica L SmeltzDepartment of Biomedical & Chemical Engineering & Sciences, Florida Institute of Technology, 150 W. University Blvd, Melbourne, FL, 32901, USA.
Pavithra PathirathnaDepartment of Biomedical & Chemical Engineering & Sciences, Florida Institute of Technology, 150 W. University Blvd, Melbourne, FL, 32901, USA. ppathirathna@fit.edu.ORCID http://orcid.org/0000-0001-9222-9109
Florida Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The etiology of neurodegenerative diseases is poorly understood; however, studies have shown that heavy metals, such as copper, play a critical role in neurotoxicity, thus, adversely affecting the development of these diseases. Because of the limitations associated with classical metal detection tools to obtain accurate speciation information of ultra-low concentrations of heavy metals in the brain, analysis is primarily performed in blood, urine, or postmortem tissues, limiting the translatability of acquired knowledge to living systems. Inadequate and less accurate data obtained with such techniques provide little or no information for developing efficient therapeutics that aid in slowing down the deterioration of brain cells. In this study, we developed a biocompatible, ultra-fast, low-cost, and robust surface-modified electrode with carbon fibers by electrodepositing dopamine via fast-scan cyclic voltammetry (FSCV) to detect Cu

Indexed as

CopperDopamineCarbonCarbon FiberElectrochemical TechniquesElectroplatingMicroelectrodesCarbonCarbon FiberCopperDopamineCarbon fiber microelectrodesCopperDopamineElectrodepositionFast-scan cyclic voltammetryReal time

Identifiers

PMID36595035
OpenAlexW4313453395

What OpenQuestion holds

Textmetadata
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.