Evidence map›Paper›PMID 36119977›Full record

ArticleACS omega2022

Electrochemical Sensing Platform Based on Functionalized Multi-Walled Carbon Nanotubes and Metal Oxide for the Detection and Degradation Studies of Orange II Dye.

Muhammad Irfan, Afzal Shah, Faiza Jan Iftikhar, Mazhar Hayat, Muhammad Naeem Ashiq, Iltaf Shah

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 28 citations in OpenAlex.

  1. Amino acid mediated oxidative activation of multi-walled carbon nanotubes to introduce reversible proton-coupled electron transfer species.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2026
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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

6 authors at 4 institutions in 2 countries.

Muhammad IrfanDepartment of Chemistry, Quaid-i-Azam University, Islamabad 45320, Pakistan.
Afzal ShahDepartment of Chemistry, Quaid-i-Azam University, Islamabad 45320, Pakistan.ORCID https://orcid.org/0000-0002-9465-9185
Faiza Jan IftikharNUTECH School of Applied Science & Humanities, National University of Technology, Islamabad 44000, Pakistan.ORCID https://orcid.org/0000-0002-8669-3711
Mazhar HayatDepartment of Chemistry, Quaid-i-Azam University, Islamabad 45320, Pakistan.
Muhammad Naeem AshiqInstitute of Chemical Sciences, Bahauddin Zakaryia University, Multan 6100, Pakistan.
Iltaf ShahDepartment of Chemistry, College of Science, United Arab Emirates University, P.O. Box, Al Ain 15551, United Arab Emirates.
Quaid-i-Azam University · PKBahauddin Zakariya University · PKNational University of Technology · PKUnited Arab Emirates University · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Textile industry effluents are heavily contaminated with dyes. The discharge of these toxic dyes into waterbodies poses a serious threat to aquatic flora and fauna. The ultimate entrance of these toxins from thereon into the food chain affects the primary and secondary consumers. Therefore, the adoption of a sustainable solution for protection against the detrimental effects associated with adulterated water is an immediate need of the hour. To address the severity of the issue, the present work aims to design an electrochemical sensing platform by modifying the glassy carbon electrode (GCE) with zinc oxide nanoparticles and amino group-functionalized multi-walled carbon nanotubes (NH

Identifiers

PMID36119977
PMCPMC9475636
OpenAlexW4294316320

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.