Evidence map›Paper›PMID 36591130›Full record

ArticleACS omega2022

Study on Multi-Factor Optimization and Application for Water Mist of a Wetting Dust Suppressant.

Ming Li, Jiao Tang, Xinzhu Song, Linling Qiu, Huaizhen Yang, Zhi Li

Abstract 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
–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

6 citing papers in PubMed.

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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

6 authors.

Ming LiSchool of Resources and Safety Engineering, Central South University, Changsha, Hunan410083, China.
Jiao TangSchool of Resources and Safety Engineering, Central South University, Changsha, Hunan410083, China.ORCID https://orcid.org/0000-0003-1493-4800
Xinzhu SongSchool of Resources and Safety Engineering, Central South University, Changsha, Hunan410083, China.
Linling QiuSchool of Resources and Safety Engineering, Central South University, Changsha, Hunan410083, China.
Huaizhen YangSchool of Resources and Safety Engineering, Central South University, Changsha, Hunan410083, China.
Zhi LiSchool of Resources and Safety Engineering, Central South University, Changsha, Hunan410083, China.ORCID https://orcid.org/0000-0003-4062-5358

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aiming at the problem of low efficiency of capturing respirable and hydrophobic dust in water mist dust removal technology, a chemical dust suppression method is adopted. Based on the research idea of improving the wetting efficiency of water mist, prolonging the droplet retention time, and improving the contact opportunity with dust, the experiments of dust sedimentation time, solution spreading area, and water loss rate are selected to evaluate the wetting efficiency and anti-evaporation performance of dust suppression water mist. Considering the special double-chain structure of the Gemini surfactant and its high wettability, it is preferred as the main dust suppression component. Based on the indoor experimental data, the optimized formula of the composite wet water mist dust suppressant was obtained by CCD-RSM(central composite design-response surface methodology). The comparison of indoor experimental data shows that the sedimentation time of the dust sample in the water mist dust suppressant is 5.0 times faster than that of pure water, the spreading area of the dust suppressant solution is 1.8 times that of pure water, and the water loss rate of the dust sample treated by the dust suppressant is 70% that of pure water. The field investigation results show that compared with pure water mist, the dust removal rates of the Gemini wetting dust suppressant for respirable dust and total dust are 90.3 and 71.1%, respectively, which are 10.5 and 22.5% higher than that of pure water mist. It can be proved that improving the wetting efficiency and anti-evaporation performance of spray mist will increase the dust removal efficiency.

Identifiers

PMID36591130
PMCPMC9798389

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Registered trials

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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.