Evidence map›Paper›PMID 37109989›Full record

ArticleMaterials (Basel, Switzerland)2023

Development of Hydrophobic Coal-Fly-Ash-Based Ceramic Membrane for Vacuum Membrane Distillation.

Zheng Zhang, Jihao Yang, Run Qi, Jiguang Huang, Haiping Chen, Heng Zhang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
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.

Zheng ZhangSchool of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China.
Jihao YangSchool of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China.
Run QiSchool of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China.
Jiguang HuangSchool of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China.
Haiping ChenSchool of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China.
Heng ZhangSchool of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China.ORCID 0000-0001-8671-3869

Funding

National Key R&D Program of China 2018YFB0604300S&T Program of Hebei, China 19273606D
6 · The paper itself

Abstract

Membrane distillation is an emerging separation technology with a high separation factor in water desalination. Ceramic membranes are increasingly used in membrane distillation because of high thermal and chemical stabilities. Coal fly ash is a promising ceramic membrane material with low thermal conductivity. In this study, three hydrophobic coal-fly-ash-based ceramic membranes were prepared for saline water desalination. The performances of different membranes in membrane distillation were compared. The effects of membrane pore size on permeate flux and salt rejection were researched. The coal-fly-ash-based membrane showed both a higher permeate flux and a higher salt rejection than the alumina membrane. As a result, using coal fly ash as the material for membrane fabrication can effectively increase the performance when applied to MD. Increasing the membrane pore size improved the permeate flux, but reduced the salt rejection. When the mean pore size increased from 0.15 μm to 1.57 μm, the water flux rose from 5.15 L·m

Indexed as

ceramic membranescoal fly ashhydrophobic modificationmembrane distillationpore sizesolid-state sintering

Identifiers

PMID37109989
PMCPMC10141027

What OpenQuestion holds

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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.