Evidence map›Paper›PMID 39319559›Full record

ArticleACS sensors2024

Dioxythiophene/Nafion Polymer Composite Membranes for Tunable Size-Based Selectivity in the Voltammetric Detection of Small Neuropeptides.

Gregory S McCarty, Carl J Meunier, Leslie A Sombers

Abstract read
In one paragraph

Article in ACS sensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Gregory S McCartyDepartment of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States.
Carl J MeunierDepartment of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States.
Leslie A SombersDepartment of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States.ORCID 0000-0002-0978-9795

Funding

Monitoring Real-Time Neuropeptide DynamicsR01DA043007 · NIDA · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI SOMBERS, LESLIE A · 2017 to 2021
$1.9M
NIDA NIH HHS R01 DA043007
6 · The paper itself

Abstract

Carbon-fiber microelectrodes are proven and powerful sensors for electroanalytical measurements in a variety of environments, including complex systems such as the brain. They are used to detect and quantify a range of biological molecules, including neuropeptides, which are of broad interest for understanding physiological function. The enkephalins (met- and leu-) are endogenous opioid peptides that are involved in both pain and motivated behavior. Each is comprised of only five amino acids including tyrosine, an electroactive species. Electroanalytical measurements targeting tyrosine can reveal the dynamics of endogenous enkephalin transients in live tissue. However, when using electrochemistry in a biological system, selectivity is always a concern. Many larger neuropeptides also contain tyrosine. As such, they could generate a redox signature similar to that of the enkephalins, potentially confounding the measurement. In this work, three distinctly sized dioxythiophene monomers were mixed with Nafion and electrodeposited onto cylindrical carbon-fiber microelectrodes to form composite polymer films that allow for the tunable, size-based exclusion of larger molecules. The dioxythiophene monomers 3,4-ethylenedioxythiophene (EDOT), 3,4-propylenedioxythiophene (ProDOT), and 3,4-(2',2'-diethylpropylene) dioxythiophene (ProDOT-Et

Indexed as

Electrochemical TechniquesFluorocarbon PolymersNeuropeptidesMembranes, ArtificialMicroelectrodesPolymersThiophenesFluorocarbon PolymersMembranes, ArtificialNeuropeptidesperfluorosulfonic acidPolymersThiophenescarbon-fiber microelectrodeEDOTenkephalinfast-scan cyclic voltammetryProDOTtyrosine

Identifiers

PMID39319559
PMCPMC12208103

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Registered trials

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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.