Evidence map›Paper›PMID 39989759›Full record

ArticleACS omega2025

Physicochemical Characteristics and Their Variation of Coal Dust Originating from Underground Mining Sites.

Yuzhu Zhou, Jianguo Liu, Longzhe Jin, Gang Li, Gang Zhou, Minglei Lin, Shengnan Ou, Linquan Tong, Weijun Zhang, Xiaobing Wang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Yuzhu ZhouNHC Key Laboratory for Engineering Control of Dust Hazard, University of Science and Technology Beijing, Beijing 100083, China.
Jianguo LiuNHC Key Laboratory for Engineering Control of Dust Hazard, University of Science and Technology Beijing, Beijing 100083, China.ORCID https://orcid.org/0000-0003-0736-6550
Longzhe JinNHC Key Laboratory for Engineering Control of Dust Hazard, University of Science and Technology Beijing, Beijing 100083, China.
Gang LiState Key Laboratory of Safety and Health for Metal Mine, Maanshan 243000, China.
Gang ZhouCollege of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China.ORCID https://orcid.org/0000-0003-2440-8417
Minglei LinNHC Key Laboratory for Engineering Control of Dust Hazard, University of Science and Technology Beijing, Beijing 100083, China.
Shengnan OuNHC Key Laboratory for Engineering Control of Dust Hazard, University of Science and Technology Beijing, Beijing 100083, China.
Linquan TongNational Center for Occupational Safety and Health, National Health Commission of the People's Republic of China, Beijing 102308, China.
Weijun ZhangNational Center for Occupational Safety and Health, National Health Commission of the People's Republic of China, Beijing 102308, China.
Xiaobing WangNHC Key Laboratory for Engineering Control of Dust Hazard, University of Science and Technology Beijing, Beijing 100083, China.
Hong GaoNHC Key Laboratory for Engineering Control of Dust Hazard, University of Science and Technology Beijing, Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The physicochemical properties of coal dust significantly affect its toxicity and dust suppression efficiency. Currently, lab-crushed coal dust is commonly used for characterization instead of the original coal dust (OCD) sampled from underground mining sites. This practice leads to an inaccurate understanding of the underground coal dust properties. To address this issue, the study directly collected 18 OCD samples from various underground mining sites and characterized their physicochemical properties, and the variation of these physicochemical parameters of OCD with various coal rank were analyzed. The results show: OCD has a small particle size (average 26.49 μm), and around 21% of particles are under 10 μm. OCD has a well-developed pore structure, with an average total pore volume of 8.24 × 10

Identifiers

PMID39989759
PMCPMC11840627

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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.