Evidence map›Paper›PMID 35480020›Full record

ArticleRSC advances2021

Facile fabrication of superhydrophobic polyester fabric based on rapid oxidation polymerization of dopamine for oil-water separation.

Ailing Xie, Boan Wang, Xinpeng Chen, Yahui Wang, Yirong Wang, Xiaowei Zhu, Tieling Xing, Guoqiang Chen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2021. 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
2.1field-weighted citation impact, top 14% of its field
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, 30 citations in OpenAlex.

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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 at 1 institution in 1 country.

Ailing XieCollege of Textile and Clothing Engineering, Jiangsu Engineering Research Center of Textile Dyeing and Printing for Energy Conservation, Discharge Reduction and Cleaner Production (ERC), Soochow University No. 199, Renai Road Suzhou 215123 China xingtieling@suda.edu.cn.
Boan WangCollege of Textile and Clothing Engineering, Jiangsu Engineering Research Center of Textile Dyeing and Printing for Energy Conservation, Discharge Reduction and Cleaner Production (ERC), Soochow University No. 199, Renai Road Suzhou 215123 China xingtieling@suda.edu.cn.
Xinpeng ChenCollege of Textile and Clothing Engineering, Jiangsu Engineering Research Center of Textile Dyeing and Printing for Energy Conservation, Discharge Reduction and Cleaner Production (ERC), Soochow University No. 199, Renai Road Suzhou 215123 China xingtieling@suda.edu.cn.
Yahui WangCollege of Textile and Clothing Engineering, Jiangsu Engineering Research Center of Textile Dyeing and Printing for Energy Conservation, Discharge Reduction and Cleaner Production (ERC), Soochow University No. 199, Renai Road Suzhou 215123 China xingtieling@suda.edu.cn.
Yirong WangCollege of Textile and Clothing Engineering, Jiangsu Engineering Research Center of Textile Dyeing and Printing for Energy Conservation, Discharge Reduction and Cleaner Production (ERC), Soochow University No. 199, Renai Road Suzhou 215123 China xingtieling@suda.edu.cn.
Xiaowei ZhuCollege of Textile and Clothing Engineering, Jiangsu Engineering Research Center of Textile Dyeing and Printing for Energy Conservation, Discharge Reduction and Cleaner Production (ERC), Soochow University No. 199, Renai Road Suzhou 215123 China xingtieling@suda.edu.cn.
Tieling XingCollege of Textile and Clothing Engineering, Jiangsu Engineering Research Center of Textile Dyeing and Printing for Energy Conservation, Discharge Reduction and Cleaner Production (ERC), Soochow University No. 199, Renai Road Suzhou 215123 China xingtieling@suda.edu.cn.ORCID https://orcid.org/0000-0002-4136-3137
Guoqiang ChenCollege of Textile and Clothing Engineering, Jiangsu Engineering Research Center of Textile Dyeing and Printing for Energy Conservation, Discharge Reduction and Cleaner Production (ERC), Soochow University No. 199, Renai Road Suzhou 215123 China xingtieling@suda.edu.cn.ORCID https://orcid.org/0000-0001-7056-7107
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Through the special chemical structure of dopamine (DA), superhydrophobic polyester (PET) fabric was fabricated by introducing the low surface energy substance hexadecyltrimethoxysilane (HDS) into the PET fabric and chelating Fe ions with phenolic hydroxyl groups of polydopamine (PDA) to form a rough surface. The water contact angle (WCA) of the prepared PDA/Fe/HDS PET fabric was higher than 160° and the scrolling angle (SA) was lower than 2.09°. The excellent adhesion property of polydopamine (PDA) on the substrate is helpful to improve the stability of superhydrophobic PDA/Fe/HDS PET fabric. The tests results showed that the modified PET fabric maintains excellent mechanical properties. Its superhydrophobic property had good stability and durability in the harsh environment of washing, mechanical friction, UV irradiation, seawater immersion, acid-base and organic reagents erosion. The PDA/Fe/HDS PET fabric also had good self-cleaning and oil-water separation properties. It still had good oil-water separation performance after repeated use for 25 times, and the separation efficiency was more than 95%. The preparation method was facile, the treatment time can be shortened, the cost of the modified substrate was low, and fluorine-free substances were used in the process. This work provides a new way to expand the added value of PET fabrics and develop durable superhydrophobic fabrics in practical application.

Identifiers

PMID35480020
PMCPMC9037623
OpenAlexW3188662162

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.