Evidence map›Paper›PMID 36987308›Full record

ArticlePolymers2023

Effect of Ultrasonication Parameters on the Structural, Morphological, and Electrical Properties of Polypyrrole Nanoparticles and Optimization by Response Surface Methodology.

S K Safdar Hossain, Anis Farhana Abdul Rahman, Agus Arsad, Avijit Basu, Ai Ling Pang, Zakiah Harun, Muhammad Mudassir Ahmad Alwi, Syed Sadiq Ali

Abstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

S K Safdar HossainDepartment of Chemical Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia.ORCID 0000-0003-3076-1161
Anis Farhana Abdul RahmanUTM-MPRC Institute for Oil and Gas, Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.ORCID 0000-0002-5514-3864
Agus ArsadUTM-MPRC Institute for Oil and Gas, Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.ORCID 0000-0002-0111-1939
Avijit BasuDepartment of Chemical Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Ai Ling PangDepartment of Chemical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar 31900, Malaysia.
Zakiah HarunUTM-MPRC Institute for Oil and Gas, Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.
Muhammad Mudassir Ahmad AlwiDepartment of Materials Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Syed Sadiq AliDepartment of Chemical Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia.

Funding

Deputyship for Research & Innovation, Ministry of Education, Saudi Arabia INST190
6 · The paper itself

Abstract

Polypyrrole (PPy) nanoparticles are reliable conducting polymers with many industrial applications. Nevertheless, owing to disadvantages in structure and morphology, producing PPy with high electrical conductivity is challenging. In this study, a chemical oxidative polymerization-assisted ultra-sonication method was used to synthesize PPy with high conductivity. The influence of critical sonication parameters such as time and power on the structure, morphology, and electrical properties was examined using response surface methodology. Various analyses such as SEM, FTIR, DSC, and TGA were performed on the PPy. An R

Indexed as

conductivitypolypyrrole nanoparticlesresponse surface methodologysonication parametersultrasonication

Identifiers

PMID36987308
PMCPMC10054862

What OpenQuestion holds

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LicenceCC BY
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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.