Evidence map›Paper›PMID 32796894›Full record

ArticleScientific reports2020

Adhesion characteristics of solution treated environmental dust.

Johnny Ebaika Adukwu, Bekir Sami Yilbas, Almaz S Jalilov, H Al-Qahtani, Mubarak Yaqubu, Abba Abdulhamid Abubakar, Mazen Khaled

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. 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
1.4field-weighted citation impact, top 19% 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, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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 2 institutions in 2 countries.

Johnny Ebaika AdukwuMechanical Engineering Department, KFUPM, Dhahran, Saudi Arabia.
Bekir Sami YilbasMechanical Engineering Department, KFUPM, Dhahran, Saudi Arabia. bsyilbas@kfupm.edu.sa.
Almaz S JalilovChemistry Department, KFUPM, Dhahran, Saudi Arabia.
H Al-QahtaniMechanical Engineering Department, KFUPM, Dhahran, Saudi Arabia.
Mubarak YaqubuMechanical Engineering Department, KFUPM, Dhahran, Saudi Arabia.
Abba Abdulhamid AbubakarMechanical Engineering Department, KFUPM, Dhahran, Saudi Arabia.
Mazen KhaledChemistry and Earth Sciences, Department, Qatar University, Qatar, Saudi Arabia.
King Fahd University of Petroleum and Minerals · SAQatar University · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental dust is modified towards self-cleaning applications under the gravitational influence. Dust particles are collected in the local area of Dammam in Saudi Arabia and they are treated with a dilute hydrofluoric acid solution. The changes in chemical and adhesion characteristics of the dust particles prior and after the solution treatment are analyzed. Force of adhesion and work required to remove dust from hydrophobic and hydrophilic glass surfaces are assessed, separately, for solution treated and collected dust. We show that aqueous hydrofluoric acid solution treatment modifies some dust components while causing the formation of submicron cracks and nano/submicron porous/pillars like textures on the dust particles. The texture generated on dust surfaces after the solution treatment has a great influence on dust adhesion characteristics. Hence, the solution treated dust particles result in lower adhesion on hydrophobic and hydrophilic glass surfaces as compared to that of untreated dust. The gravitational force enables to remove solution treated dust from inclined glass surfaces, which becomes more apparent for hydrophobic surfaces.

Identifiers

PMID32796894
PMCPMC7427998
OpenAlexW3048979929

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.