Evidence map›Paper›PMID 40837151›Full record

ArticleCurrent opinion in electrochemistry2025

Innovating carbon-based electrodes for direct neurochemical detection along the brain-immune axis.

Vivek Subedi, Sainath Mohan Kumar, Moriah E Weese-Myers, Ashley E Ross

Abstract read
In one paragraph

Article in Current opinion in electrochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Vivek SubediUniversity of Cincinnati, Department of Chemistry, Cincinnati, OH, United States of America.
Sainath Mohan KumarUniversity of Cincinnati, Department of Chemistry, Cincinnati, OH, United States of America.
Moriah E Weese-MyersUniversity of Cincinnati, Department of Chemistry, Cincinnati, OH, United States of America.
Ashley E RossUniversity of Cincinnati, Department of Chemistry, Cincinnati, OH, United States of America.

Funding

Monitoring neurochemical signaling dynamics in the lymph nodeR01AI151552 · NIAID · UNIVERSITY OF CINCINNATI · PI ROSS, ASHLEY E · 2020 to 2024
$1.9M
Monitoring rapid guanosine signaling during ischemiaR01NS121426 · NINDS · UNIVERSITY OF CINCINNATI · PI ROSS, ASHLEY E · 2021 to 2025
$1.9M
NIAID NIH HHS R01 AI151552NINDS NIH HHS R01 NS121426
6 · The paper itself

Abstract

The use of carbon-based electrodes for direct neurochemical detection along the brain-immune axis is emerging as a promising frontier. Carbon is commonly chosen as an electrode material due to its numerous advantages, including cost-effectiveness, high electrical conductivity, excellent chemical stability, wide electrochemical window, and biocompatibility. To further enhance performance, carbon fibers have been coated with nanomaterials including carbon nanotubes (CNTs), graphene, carbon nanospikes, among others. Traditional carbon electrodes-typically constructed from carbon fibers-are limited by their heterogeneity, which restricts their adaptability. Recent advancements have moved toward developing highly sensitive and selective carbon materials through customization. The current research is increasingly focused on developing alternative materials to replace carbon fibers, with the aim of preventing coating degradation, improving sensitivity, achieving frequency-independent properties, and lowering detection limits. This current opinion discusses the key innovations in modern carbon-based materials for brain-immune studies, with an emphasis on the importance of tailoring surfaces for specific analytes and applications.

Identifiers

PMID40837151
PMCPMC12364121

What OpenQuestion holds

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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.