Evidence map›Paper›PMID 37273581›Full record

ArticleACS omega2023

Novel Iron Oxide Nanoparticle-Fortified Carbon Paste Electrode for the Sensitive Voltammetric Determination of Atomoxetine.

Hana M Abumelha, Ali Q Alorabi, Hussain Alessa, Nasser A Alamrani, Arwa Alharbi, Ali A Keshk, Nashwa M El-Metwaly

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2023. 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
1.6field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. Article
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

7 authors at 5 institutions in 2 countries.

Hana M AbumelhaDepartment of Chemistry, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Ali Q AlorabiDepartment of Chemistry, Faculty of Sciences, Al-Baha University, P.O. Box 1988, Albaha 65799, Saudi Arabia.
Hussain AlessaDepartment of Chemistry, Faculty of Applied Sciences, Umm Al-Qura University, Makkah 24382, Saudi Arabia.
Nasser A AlamraniDepartment of Chemistry, College of Science, University of Tabuk, Tabuk 71421, Saudi Arabia.
Arwa AlharbiDepartment of Chemistry, Faculty of Applied Sciences, Umm Al-Qura University, Makkah 24382, Saudi Arabia.
Ali A KeshkDepartment of Chemistry, College of Science, University of Tabuk, Tabuk 71421, Saudi Arabia.
Nashwa M El-MetwalyDepartment of Chemistry, Faculty of Applied Sciences, Umm Al-Qura University, Makkah 24382, Saudi Arabia.ORCID https://orcid.org/0000-0002-0619-6206
Umm al-Qura University · SAUniversity of Tabuk · SAAl Baha University · SAMansoura University · EGPrincess Nourah bint Abdulrahman University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, the fabrication and full characterization of a novel atomoxetine (ATX) voltammetric carbon paste electrode (CPE) fortified with iron oxide nanoparticles (FeONPs) is demonstrated. Modification of the carbon paste matrix with the metallic oxide nanostructure provides proper electrocatalytic activity against the oxidation of ATX molecules at the carbon paste surface, resulting in a noticeable improvement in the performance of the sensor. At the recommended pH value, ATX recorded an irreversible anodic peak at 1.17 V, following a diffusion-controlled reaction mechanism. Differential pulse voltammograms exhibited peak heights linearly correlated to the ATX content within a wide concentration range from 45 to 8680 ng mL

Identifiers

PMID37273581
PMCPMC10233827
OpenAlexW4377047555

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.