Evidence map›Paper›PMID 35519853›Full record

ArticleRSC advances2019

Facile fabrication of amphiphobic surfaces on copper substrates with a mixed modified solution.

Ning Wang, Qing Wang, Shuangshuang Xu, Xu Zheng, Mingya Zhang

Abstract read
In one paragraph

Article in RSC advances, 2019. 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

5 authors.

Ning WangInstitute of NanoEngineering, College of Civil Engineering and Architecture, Shandong University of Science and Technology Qingdao 266590 China qwang@sdust.edu.cn.
Qing WangInstitute of NanoEngineering, College of Civil Engineering and Architecture, Shandong University of Science and Technology Qingdao 266590 China qwang@sdust.edu.cn.ORCID https://orcid.org/0000-0001-7228-6472
Shuangshuang XuInstitute of NanoEngineering, College of Civil Engineering and Architecture, Shandong University of Science and Technology Qingdao 266590 China qwang@sdust.edu.cn.
Xu ZhengInstitute of NanoEngineering, College of Civil Engineering and Architecture, Shandong University of Science and Technology Qingdao 266590 China qwang@sdust.edu.cn.
Mingya ZhangInstitute of NanoEngineering, College of Civil Engineering and Architecture, Shandong University of Science and Technology Qingdao 266590 China qwang@sdust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fabricating amphiphobic surfaces is often complex, difficult to control, and time-consuming, making the fabrication process very difficult. Herein, a facile and time-saving modification method using a mixed modified solution of stearic acid and perfluorooctanoic acid was initially proposed, which played a key role in the achievement of the superhydrophobicity and highly oleophobicity. The effects of reaction time on surface morphology and wettability as well as the content of perfluorooctanoic acid in the mixed modified solution on wettability were investigated to determine the optimal experiment parameters that maximized the amphiphobicity of the surfaces. The as-fabricated amphiphobic surfaces displayed high oil contact angles of 133.5°, higher water contact angles of 156.8°, ultra-low water sliding angles of less than 5° and excellent self-cleaning properties. The facile, easy to control, and efficient method can provide new insights into fabricating amphiphobic surfaces and can open up a new way for the basic research and practical application of amphiphobic surfaces.

Identifiers

PMID35519853
PMCPMC9064577

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.