Evidence map›Paper›PMID 39025995›Full record

ArticleScientific reports2024

Study on preparation and properties of antifreeze compound road dust suppressant.

Shiyang Xia, Ziling Song, Xiaoliang Zhao, Zhimin Ma, Jiyang Li

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Shiyang XiaCollege of Mining, Liaoning Technical University, Fuxin, 123000, China.
Ziling SongCollege of Environmental Science and Engineering, Liaoning Technical University, Fuxin, 123000, China.
Xiaoliang ZhaoCollege of Environmental Science and Engineering, Liaoning Technical University, Fuxin, 123000, China. zhaoxiaoliang2008@126.com.
Zhimin MaCollege of Environmental Science and Engineering, Liaoning Technical University, Fuxin, 123000, China.
Jiyang LiCollege of Mining, Liaoning Technical University, Fuxin, 123000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Open-pit mine pavement dust dries and breaks easily. As such, a composite pavement dust suppressant with good wettability, moisturizing, coagulation, and antifreezing properties in winter was investigated. Monomer screening and orthogonal experiments were conducted, using evaporation rate, permeability rate, viscosity, and freezing point as evaluation indexes. Consequently, a dust suppressant solution is a mixture of glycerol (GLY), sodium dodecylbenzene sulfonate (SDBS), polyacrylamide (PAM), compound propylene glycol (PG), and potassium acetate (PA). The characteristics of the dust suppressant and its interaction mechanism with road dust were measured and analyzed. The results showed that the optimal ratio of the antifreeze-type composite dust suppressant is 3%GLY, 0.30%SDBS, 0.07% PAM, and 50%PG + 10%PA; the contact angle is 27.62°, which can effectively wet coal dust. Moreover, it easily forms hydrogen bonds with water molecules to release free -OH, which increases the oxygen-containing functional groups in the dust. The maximum viscosity is 25.4 mPa·s, and the hydrophobic groups adsorbed on the surface of the dust can condense and agglomerate the dust to form large particles, and effectively inhibit the occurrence of dust. It freezes at - 34.2 ℃, resists a temperature of - 30 ℃ without freezing, and improves dust suppression efficiency and antifreezing effect in cold areas.

Indexed as

Antifreeze agentComposite dust suppressantMolecular dynamics simulationsOpen-pit coal minePerformance characterizationRoad dust

Identifiers

PMID39025995
PMCPMC11258342

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.