Evidence map›Paper›PMID 38645638›Full record

ArticleECS sensors plus2024

Perspective-Advances in Voltammetric Methods for the Measurement of Biomolecules.

Nadiah Alyamni, Jandro L Abot, Alexander G Zestos

Open access · goldAbstract read
In one paragraph

Article in ECS sensors plus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
10.2field-weighted citation impact, top 1% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 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

3 authors at 2 institutions in 1 country.

Nadiah AlyamniDepartment of Biomedical Engineering, The Catholic University of America, Washington, DC, 20064, United States of America.
Jandro L AbotDepartment of Mechanical Engineering, The Catholic University of America, Washington, DC, 20064, United States of America.
Alexander G ZestosDepartment of Chemistry, American University, Washington, D.C. 20016, United States of America.ORCID https://orcid.org/0000-0002-4804-4278
University of America · USAmerican University · US

Funding

Dual-function Carbon Modified-Silicon Microelectrodes for Biomolecule Detection with Fast Scan Cyclic Voltammetry and Electrophysiology Recording and StimulationR41MH139088 · NIMH · SPIKE NEURO LLC · PI ZESTOS, ALEXANDROS GEORGE · 2024 to 2025
$1.0M
Multielectrode Arrays for Neurotransmitter Detection with Fast Scan Cyclic VoltammetryR41NS113702 · NINDS · MICROPROBES FOR LIFE SCIENCE, INC. · PI ZESTOS, ALEXANDROS GEORGE · 2019 to 2019
$145k
NIMH NIH HHS R41 MH139088NINDS NIH HHS R41 NS113702
6 · The paper itself

Abstract

Voltammetry is a powerful electroanalytical tool that makes fast, real-time measurements of neurotransmitters and other molecules. Electroanalytical methods like cyclic, pulse, and stripping voltammetry are useful for qualitative and quantitative examination. Neurochemical sensing has been enhanced using carbon-based electrodes and waveform modification methods that improve sensitivity and stability of electrode performance. Voltammetry has revolutionized neurochemical monitoring by providing real-time information on neurotransmitter dynamics for neurochemical studies. Selectivity and electrode fouling remain issues for biomolecule detection, but recent advances promise new methods of analysis for other applications to enhance spatiotemporal resolution, sensitivity, selectivity, and other important considerations.

Indexed as

Electroanalytical electrochemistryGrapheneNanotubesSensors

Identifiers

PMID38645638
PMCPMC11024638
OpenAlexW4394623292

What OpenQuestion holds

Textmetadata
LicenceTDM
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.