Literature DB >> 33951863

Study of the microscopic mechanism of lauryl glucoside wetting coal dust: Environmental pollution prevention and control.

Wenjin Niu1, Wen Nie2, Mingyue Yuan3, Qiu Bao1, Weiwei Zhou1, Jiayi Yan1, Fengning Yu1, Chengyi Liu1, Ning Sun1, Qianqian Xue1.   

Abstract

Molecular dynamics simulation combined with experimental methods were used to investigate the adsorption and wetting process of 25 lauryl glucoside (APG-12) molecules on coal molecules and in turn study the dust suppression mechanism by APG-12 at the molecular level. Through wetting experiments, our preliminary findings showed that APG-12 does have a certain wetting effect on coal dust. According to density functional theory in molecular dynamics simulations, the electrostatic potential and surface charge of the APG-12 and coal molecular models were analyzed to identify their nucleophilic and electrophilic regions, and illustrate the hydrogen bond adsorption mechanism. The dynamics simulation results showed that APG-12 molecules can be easily adsorbed on the surface of coal molecules and then adsorb water molecules around them under the action of hydrogen bonds. This was consistent with the results of an analysis of the system's radial distribution function and the relative concentration distribution of each component in the Z-axis direction. The results are in good agreement with the experimental results from scanning electron microscopy and energy dispersive spectrometer analysis. These data provide further evidence that APG-12 can clearly improve the wettability and suppression of coal dust, which is of great importance for controlling coal dust pollution.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coal; Coal dust pollution; Molecular dynamics; Surfactant

Year:  2021        PMID: 33951863     DOI: 10.1016/j.jhazmat.2021.125223

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  2 in total

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

Authors:  Liying Sun; Shaocheng Ge; Shuo Liu; Deji Jing; Xi Chen
Journal:  ACS Omega       Date:  2022-05-18

2.  Identification and monitoring of coal dust pollution in Wucaiwan mining area, Xinjiang (China) using Landsat derived enhanced coal dust index.

Authors:  Nan Xia; Wenyue Hai; Gimei Song; Mengying Tang
Journal:  PLoS One       Date:  2022-04-08       Impact factor: 3.240

  2 in total

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