Evidence map›Paper›PMID 36061731›Full record

ArticleACS omega2022

Superhydrophobic and Breathable Polyacrylonitrile/Silica/Perfluoroalkyl Ethyl Methacrylate Nanofiber Membranes Prepared by Solution Blow Spinning.

Wei Zhang, Guangwu Sun, Yudong Wang, Wanli Han, Yinjiang Zhang, Wenfeng Hu, Sanfa Xin, Changfa Xiao

Abstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Wei ZhangFiber Material Research Center, School of Textiles and Fashion, Shanghai University of Engineering Science, Shanghai 201620, China.
Guangwu SunFiber Material Research Center, School of Textiles and Fashion, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID https://orcid.org/0000-0001-8667-8119
Yudong WangGuangxi University of Science and Technology, Liuzhou 545026, Guangxi Zhuang Autonomous Region, China.
Wanli HanMaterials and Textile Engineering College, Jiaxing University, Jiaxing 314041, Zhejiang, China.ORCID https://orcid.org/0000-0002-1391-5504
Yinjiang ZhangCollege of Textile and Apparel, Key Laboratory of Clean Dyeing and Finishing Technology of Zhejiang Province, Shaoxing University, Shaoxing 312010, Zhejiang, China.
Wenfeng HuFiber Material Research Center, School of Textiles and Fashion, Shanghai University of Engineering Science, Shanghai 201620, China.
Sanfa XinFiber Material Research Center, School of Textiles and Fashion, Shanghai University of Engineering Science, Shanghai 201620, China.
Changfa XiaoFiber Material Research Center, School of Textiles and Fashion, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID https://orcid.org/0000-0003-0614-7348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrophobic and breathable nanofiber membranes have attracted considerable attention owing to their applications in various fields. In this study, we fabricated superhydrophobic and breathable nanofiber membranes using solution blow spinning. We optimized the spinning process parameters by analyzing their effects on the structure and properties of the nanofiber membranes. And the nanofiber membranes achieved superhydrophobicity through hydrophobic modification treatment. The average fiber diameter and pore size of the obtained membrane were 0.51 and 13.65 μm, respectively. The membranes exhibited superhydrophobicity, breathability, and mechanical properties: water vapor transmission of 12.88 kg/m

Identifiers

PMID36061731
PMCPMC9434752

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.