Evidence map›Paper›PMID 41677548›Full record

ArticleNanomaterials (Basel, Switzerland)2026

Design and Parameter Optimization of Deep Well Rapid Purification System Combining Nanobubble Water Spray and Water Bath/Wire Mesh Carbon.

Xin Zhang, Yixiao Xie, Yong Jin, Xingxin Nie, Zeyu Sun, Lihua Mi, Rui Tao

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Xin ZhangCollege of Architecture and Energy Engineering, Wenzhou University of Technology, Wenzhou 325000, China.ORCID 0000-0003-3073-9810
Yixiao XieShaanxi Coal Industry New Energy Technology Co., Ltd., Xi'an 710100, China.
Yong JinCollege of Architecture and Energy Engineering, Wenzhou University of Technology, Wenzhou 325000, China.
Xingxin NieSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Zeyu SunSchool of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Lihua MiCollege of Architecture and Energy Engineering, Wenzhou University of Technology, Wenzhou 325000, China.
Rui TaoCollege of Architecture and Energy Engineering, Wenzhou University of Technology, Wenzhou 325000, China.

Funding

Scientific Research Fund of Zhejiang Provincial Education Department Y202559062the Natural Science Basic Research Program of Shaanxi Province 2024JC-YBQN-0453the Shaanxi Provincial Department of Education Service Local Special Plan Project 24JC050the Zhejiang Provincial Natural Science Foundation of China ZCLQN26E0801
6 · The paper itself

Abstract

In order to create a safe and healthy working environment in mines, an issue that urgently needs to be addressed is the rapid discharge of high concentrations of toxic and harmful pollutants after blasting. This paper proposes a deep well rapid purification system based on the combination of nanobubble water spray and water bath/wire mesh carbon, and conducts single-variable optimization tests on the parameters of micro-nano bubble water and the atomizing nozzle. The wet spray fiber grid and carbon adsorption network form in sequence and verify the purification experiment under the clear optimal parameters. The results show that the micro-nano bubble water is used as the spray medium, and a high-pressure nozzle with a diameter of 0.4 mm is also used. The water supply pressure of the nozzle is 3.0 MPa, the wet spray fiber grid uses a double-layer 10-mesh metal wire, and the carbon adsorption network uses 5 mm activated carbon fiber cotton as the optimal parameter for the deep well rapid purification system. Under these conditions, the efficiency of total dust and exhalation dust reduction is 72.90% and 79.17%, respectively, and the purification efficiency of CO, H

Indexed as

micro-nano bubble watermining pollutionperformance effectspray dust suppressionwater bath/wire mesh

Identifiers

PMID41677548
PMCPMC12899716

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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.