Evidence map›Paper›PMID 39926515›Full record

ArticleACS omega2025

Selective and Sensitive OECT Sensors with Doped MIP-Modified GCE/MWCNT Gate Electrodes for Real-Time Detection of Serotonin.

Amin Mehrehjedy, Jack Eaton, Kan Tang, Saroj Upreti, Aries Sanders, Vincent LaRoux, Xiaodan Gu, Xuyang He, Song Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Amin MehrehjedyDepartment of Chemistry and Biochemistry, School of Mathematics and Natural Sciences, The University of Southern Mississippi, Hattiesburg, Mississippi 39406, United States.
Jack EatonDepartment of Chemistry and Biochemistry, School of Mathematics and Natural Sciences, The University of Southern Mississippi, Hattiesburg, Mississippi 39406, United States.
Kan TangDepartment of Chemistry and Biochemistry, School of Mathematics and Natural Sciences, The University of Southern Mississippi, Hattiesburg, Mississippi 39406, United States.ORCID https://orcid.org/0000-0003-0012-0224
Saroj UpretiSchool of Polymer Science and Engineering, The University of Southern Mississippi, Hattiesburg, Mississippi 39406, United States.
Aries SandersDepartment of Chemistry, The University of Arkansas - Fort Smith, Fort Smith, Arkansas 72913, United States.
Vincent LaRouxDepartment of Chemistry and Biochemistry, School of Mathematics and Natural Sciences, The University of Southern Mississippi, Hattiesburg, Mississippi 39406, United States.
Xiaodan GuSchool of Polymer Science and Engineering, The University of Southern Mississippi, Hattiesburg, Mississippi 39406, United States.ORCID https://orcid.org/0000-0002-1123-3673
Xuyang HeSchool of Criminal Justice, Forensic Science, and Security, The University of Southern Mississippi, Hattiesburg, Mississippi 39406, United States.ORCID https://orcid.org/0000-0003-0435-4255
Song GuoDepartment of Chemistry and Biochemistry, School of Mathematics and Natural Sciences, The University of Southern Mississippi, Hattiesburg, Mississippi 39406, United States.ORCID https://orcid.org/0000-0002-3457-4331

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organic electrochemical transistors (OECTs) represent a promising platform for biosensing applications in aqueous environments, including the sensitive detection of neurotransmitter molecules, such as serotonin (SE). Conventional methods for SE detection, such as HPLC and ELISA, are time-consuming and expensive. Electrochemical sensors, while sensitive and cost-effective, often struggle with real-time detection and selectivity issues due to interference from similar biomolecules, such as dopamine (DA), ascorbic acid (AA), and uric acid (UA). These interferents are particularly challenging for the OECT detection because they are easier to oxidize than SE on the gate electrode. Molecularly imprinted polymer (MIP) has gained increasing interest in electrochemical analysis, providing a cost-effective method for the selective detection of various analytes by creating matching cavities in the polymer film. Herein, a glassy carbon/multiwall carbon nanotube (GCE/MWCNT) gate electrode was modified by a PSS

Identifiers

PMID39926515
PMCPMC11800035

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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.