Evidence map›Paper›PMID 34685007›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Self-Supporting Three-Dimensional Electrospun Nanofibrous Membrane for Highly Efficient Air Filtration.

Gaofeng Zheng, Zungui Shao, Junyu Chen, Jiaxin Jiang, Ping Zhu, Xiang Wang, Wenwang Li, Yifang Liu

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Electrospun Nanofiber Membranes for Air Filtration: A Review.Nanomaterials (Basel, Switzerland) · 2022
    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

8 authors.

Gaofeng ZhengDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.ORCID 0000-0003-0870-6166
Zungui ShaoDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.
Junyu ChenDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.
Jiaxin JiangDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.
Ping ZhuDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.
Xiang WangSchool of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, China.ORCID 0000-0002-5718-9575
Wenwang LiSchool of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, China.
Yifang LiuDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.

Funding

National Natural Science Foundation of China 51805460Science and Technology Planning Project of Fujian Province 2019H0038Science and Technology Planning Project of Fujian Province 2020H6003Xiamen Science and Technology Planning Project 3502Z20193015
6 · The paper itself

Abstract

High-performance air filtration was the key to health protection from biological and ultrafine dust pollution. A self-supporting, three-dimensional (3D) nanofibrous membrane with curled pattern was electrospun for the filtration, of which the micro-fluffy structure displayed high-filtration efficiency and low-pressure drop. The flow field in the 3D filtration membrane was simulated to optimize the process parameters to increase the filtration performance. The qualification factor increased from 0.0274 Pa

Indexed as

air filtrationcurled nanofibrouselectrospun membraneself-supporting composite structurethree-dimensional pattern

Identifiers

PMID34685007
PMCPMC8540260

What OpenQuestion holds

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Registered trials

None linked

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.