Evidence map›Paper›PMID 34504964›Full record

ArticleHeliyon2021

Surface modification and improvements of wicking properties and dyeability of grey jute-cotton blended fabrics using low-pressure glow discharge air plasma.

M Hedayet Ullah, Hasina Akther, M Mahbubur Rahman, A B M Foisal, M Mahmud Hasan, S M Amir-Al Zumahi, Amun Amri

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

Article in Heliyon, 2021. 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
1.9field-weighted citation impact, top 16% 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, 30 citations in OpenAlex.

  1. Article
  2. Article
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  4. Review
  5. 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

7 authors at 5 institutions in 2 countries.

M Hedayet UllahDepartment of Physics, Bangladesh University of Textiles, Dhaka, Bangladesh.
Hasina AktherDepartment of Physics, Bangladesh University of Textiles, Dhaka, Bangladesh.
M Mahbubur RahmanDepartment of Physics, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.
A B M FoisalDepartment of Textile Engineering, Southeast University, Dhaka, Bangladesh.
M Mahmud HasanMaterials Science Laboratory, Department of Physics, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
S M Amir-Al ZumahiDepartment of Physics, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.
Amun AmriDepartment of Chemical Engineering, Universitas Riau, Pekanbaru, 28293, Indonesia.
Bangladesh University of Textiles · BDJahangirnagar University · BDBangladesh University of Engineering and Technology · BDRiau University · IDSoutheast University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, we reported the improvements of wicking properties and dyeability of the jute-cotton blended (40:60) fabrics due to the effect of low-pressure glow discharge (LPGD) air plasma under selected exposure times. The microscopic features, functional groups, wettability, contact angles, wetting area, wicking rates, and reflectance values of the jute-cotton blended fabrics were analyzed using numerous experimental techniques. The scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR) techniques were used to investigate the morphological and compositional modifications of plasma-treated jute blended cotton fabrics. The compositional analysis confirmed various functional groups such as -OH, C-O, and COO

Indexed as

Average pore radiiContact angleDyeabilityJute-cotton blendedPlasma treatmentWettability

Identifiers

PMID34504964
PMCPMC8411235
OpenAlexW3198818632

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.