Evidence map›Paper›PMID 36406579›Full record

ArticleACS omega2022

Fabrication and Characterization of Cu Nanoparticles Dispersed on ZnAl-Layered Double Hydroxide Nanocatalysts for the Oxidation of Cyclohexane.

Jagat Singh Kirar, Neeraj Mohan Gupta, Kailash Chandra, Hitesh Kumar Vani, Savita Khare, Neha Tiwari, Yogesh Deswal

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 26% 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, 16 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 3 institutions in 1 country.

Jagat Singh KirarDepartment of Chemistry, Government P.G. College, Guna, Madhya Pradesh473001, India.ORCID https://orcid.org/0000-0002-8022-5298
Neeraj Mohan GuptaDepartment of Chemistry, Government P.G. College, Guna, Madhya Pradesh473001, India.
Kailash ChandraDepartment of Chemistry, Bareilly College, Bareilly, Uttar Pradesh243005, India.
Hitesh Kumar VaniDepartment of Chemistry, Government College, Anjad, Madhya Pradesh451556, India.
Savita KhareSchool of Chemical Sciences, Devi Ahilya University, Indore, Madhya Pradesh452001, India.ORCID https://orcid.org/0000-0002-2236-2948
Neha TiwariSchool of Chemical Sciences, Devi Ahilya University, Indore, Madhya Pradesh452001, India.
Yogesh DeswalDepartment of Chemistry, Guru Jambheshwar University of Science and Technology, Hisar, Haryana125001, India.
Devi Ahilya Vishwavidyalaya · INGuru Jambheshwar University of Science and Technology · INM.J.P. Rohilkhand University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the chemical industry, designing high-performance catalysts for the oxidation of cyclohexane into value-added products such as cyclohexanol and cyclohexanone (the combination is known as KA oil) is critical. The catalytic activity of copper nanoparticles supported on layered double hydroxide (LDH) for the liquid phase oxidation of cyclohexane was examined in this study. In this work, we have developed Cu nanoparticles supported on layered double hydroxide nanocatalysts, abbreviated as CuNPs@LDH, by the chemical reduction approach. Various physical methods were used to characterize the resulting material, including ICP-AES, XRD, FTIR, SEM, EDX, HRTEM, and BET surface area. The catalytic activity of copper nanoparticles supported on LDH was examined for the liquid phase oxidation of cyclohexane with

Identifiers

PMID36406579
PMCPMC9670097
OpenAlexW4308027972

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.