Evidence map›Paper›PMID 35664608›Full record

ArticleACS omega2022

Experimental and Molecular Dynamics Simulation Study for Preferring Coal Dust Wetting Agents.

Liying Sun, Shaocheng Ge, Shuo Liu, Deji Jing, Xi Chen

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Influence of SiOJournal of molecular modeling · 2025
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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

5 authors at 2 institutions in 1 country.

Liying SunCollege of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030600, China.
Shaocheng GeCollege of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030600, China.ORCID https://orcid.org/0000-0001-7398-9102
Shuo LiuCollege of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030600, China.
Deji JingInstitute of Safety Science and Technology, Liaoning Technical University, Fuxin 123000, China.
Xi ChenCollege of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030600, China.
Taiyuan University of Technology · CNLiaoning Technical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To improve the efficiency of coal dust removal by water spray technology, the addition of wetting agents in water becomes the main dust removal method. The influence of sodium dodecyl sulfate (SDS), sodium dodecyl sulfonate (SDDS), and sodium dodecylbenzene sulfonate (SDBS) on the wettability of coal dust is studied by experimental and molecular dynamics (MD) simulation. Measurement of the contact angle and surface tension was accomplished via relevant experiments for the three wetting agents, and their adhesion work, spreading work, and wetting work were also calculated. A preferred experimental method of conventional coal dust wetting agent is optimized. The wettability of the three wetting agents upon bituminous coal follows the trend: SDS > SDDS > SDBS. The simulation was performed based on MD to derive the intermolecular interaction energy, diffusion coefficient of water molecules, and water molecule count in the vicinity of the hydrophilic groups of the wetting agents. The wetting mechanism and performance of the wetting agent solution on bituminous coal were identified. The simulation results of the wetting performance of the wetting agents are consistent with the experimental results, which verifies the reliability of the simulation method. An easy, time-saving, and labor-saving MD simulation method is proposed, which provides a novel insight for choosing various wetting agents of coal dust.

Identifiers

PMID35664608
PMCPMC9161254
OpenAlexW4280570181

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.