Evidence map›Paper›PMID 40824608›Full record

ArticleJournal of molecular modeling2025

Influence of SiO

Xiangjun Chen, Jiahui Xu, Peiqi Zuo, Yibo Li, Liyang Li, San Zhao

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Article in Journal of molecular modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Xiangjun ChenState Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Henan Polytechnic University, Jiaozuo, 454003, China.
Jiahui XuState Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Henan Polytechnic University, Jiaozuo, 454003, China.
Peiqi ZuoState Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Henan Polytechnic University, Jiaozuo, 454003, China. xujh18303427990@163.com.
Yibo LiState Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Henan Polytechnic University, Jiaozuo, 454003, China.
Liyang LiState Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Henan Polytechnic University, Jiaozuo, 454003, China.
San ZhaoState Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Henan Polytechnic University, Jiaozuo, 454003, China.

Funding

Fundamental Research Funds of Henan Polytechnic University No. NSFRF230103Henan Science Fund for Distinguished Young Scholars No. 242300421012National Natural Science Foundation of China No. 52074105Science and Technology Innovation Team of Henan Provincial University No. 24IRTSTHN013
6 · The paper itself

Abstract

contextIn coal mine spray dust suppression, conventional studies on individual surfactants or surfactant mixtures often fail to achieve optimal coal wettability enhancement. This study innovatively introduces SiO₂ nanoparticles and demonstrates through simulations that the nanoparticle-surfactant composite system substantially enhances coal wettability. Electrostatic potential analysis indicates that the modified nanoparticle molecules formed by surfactant-grafted nanoparticles are more likely to form stable structures with coal molecules, enabling the nanoparticles to be better fixed on the coal molecules and establish a stable adsorption configuration. When the surfactant-grafted composite structure adsorbs onto the coal surface, it significantly enhances water molecular diffusivity, facilitates increased hydrogen bond formation with the composite surface, and substantially strengthens the interaction energy between coal and surfactants. Moreover, nanoparticle incorporation leads to noticeable thickening of the coal wetting layer and a marked increase in water molecule density at the interface. The results conclusively demonstrate that this composite structure enhances coal wettability through three synergistic mechanisms: interface optimization, hydrogen bond reinforcement, and water molecule diffusion enhancement.

methodsThis study innovatively employed molecular dynamics simulation methods to construct two adsorption systems-"water-surfactant-coal" and "water-nanoparticle-grafted surfactant-coal"-based on the Wiser coal molecular model. Through comprehensive analysis of key parameters including adsorption configurations, interaction energies, relative concentration profiles, hydrogen bond counts, water molecule diffusion behaviors, and detailed examination of surface electrostatic potentials of various components, we conducted comparative studies on the wetting behaviors of sodium dodecyl sulfate (SDS), alcohol ethoxylate (AEO

Indexed as

Coal’s wettabilityComposite systemMolecular dynamicsNanoparticlesSurfactant

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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.