Evidence map›Paper›PMID 34079589›Full record

ArticleAnalytical methods : advancing methods and applications2019

Polymer Modified Carbon Fiber-Microelectrodes and Waveform Modifications Enhance Neurotransmitter Metabolite Detection.

Dilpreet Raju, Alexander Mendoza, Pauline Wonnenberg, Sanuja Mohanaraj, Mulugeta Sarbanes, Carly Truong, Alexander G Zestos

Abstract read
In one paragraph

Article in Analytical methods : advancing methods and applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Dilpreet RajuDepartment of Chemistry, Center for Behavioral Neuroscience, American University, Washington, D.C. 20016.
Alexander MendozaDepartment of Chemistry, Center for Behavioral Neuroscience, American University, Washington, D.C. 20016.
Pauline WonnenbergDepartment of Chemistry, Center for Behavioral Neuroscience, American University, Washington, D.C. 20016.
Sanuja MohanarajDepartment of Chemistry, Center for Behavioral Neuroscience, American University, Washington, D.C. 20016.
Mulugeta SarbanesDepartment of Chemistry, Center for Behavioral Neuroscience, American University, Washington, D.C. 20016.
Carly TruongDepartment of Chemistry, Center for Behavioral Neuroscience, American University, Washington, D.C. 20016.
Alexander G ZestosDepartment of Chemistry, Center for Behavioral Neuroscience, American University, Washington, D.C. 20016.

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

Carbon-fiber microelectrodes (CFMEs) have been used for several years for the detection of neurotransmitters such as dopamine. Dopamine is a fundamentally important neurotransmitter and is also metabolized at a subsecond timescale. Recently, several metabolites of dopamine have been shown to be physiologically important such as 3-methoxytyramine (3-MT), 3,4-dihydroxyphenylacetic acid (DOPAC), and homovanillic acid (HVA). Many of these neurotransmitter metabolites are currently only detected with microdialysis coupled with liquid chromatography with relatively low temporal and spatial resolution. Current electrochemical methods such as the dopamine waveform (scanning from -0.4 to 1.3 V at 400 V/sec) are utilized to electrostatically repel anions such as DOPAC and promote dopamine adsorption to the surface of the electrode. Moreover, polymer coatings such as Nafion have been shown to electrostatically repel anions such as 5-hydroxyindoleacetic acid (5-HIAA). In this study, we develop novel polymer and waveform modifications for enhanced DOPAC detection. Applying the DOPAC waveform (scanning from 0 to 1.3 V at 400 V/sec) enhances DOPAC detection significantly because it does not include the negative holding potential of the dopamine waveform. Moreover, positively charged cationic polymers such as polyethyleneimine (PEI) allow for the preconcentration of DOPAC to the surface of the carbon fiber through an electrostatic attraction. The limit of detection for DOPAC for PEI coated CFMEs with the DOPAC waveform applied is 58.2 ± 2 nM as opposed to 291 ± 10 nM for unmodified electrodes applying the dopamine waveform (n = 4). This work offers promise for the development of novel electrode materials and waveforms for the specific detection of several important biomolecules such as dopamine metabolite neurotransmitters.

Identifiers

PMID34079589
PMCPMC8168831

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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.