Evidence map›Paper›PMID 38231972›Full record

ArticlePolymers2023

Siloxane-Modified UV-Curable Castor-Oil-Based Waterborne Polyurethane Superhydrophobic Coatings.

Qianhui Yu, Zengshuai Zhang, Pengyun Tan, Jiahao Zhou, Xiaojing Ma, Yingqing Shao, Shuangying Wei, Zhenhua Gao

Abstract read
In one paragraph

Article in Polymers, 2023. 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.

Qianhui YuEngineering Research Center of Advanced Wooden Materials, Northeast Forestry University, Ministry of Education, Harbin 150040, China.
Zengshuai ZhangEngineering Research Center of Advanced Wooden Materials, Northeast Forestry University, Ministry of Education, Harbin 150040, China.
Pengyun TanEngineering Research Center of Advanced Wooden Materials, Northeast Forestry University, Ministry of Education, Harbin 150040, China.
Jiahao ZhouEngineering Research Center of Advanced Wooden Materials, Northeast Forestry University, Ministry of Education, Harbin 150040, China.
Xiaojing MaEngineering Research Center of Advanced Wooden Materials, Northeast Forestry University, Ministry of Education, Harbin 150040, China.
Yingqing ShaoEngineering Research Center of Advanced Wooden Materials, Northeast Forestry University, Ministry of Education, Harbin 150040, China.
Shuangying WeiEngineering Research Center of Advanced Wooden Materials, Northeast Forestry University, Ministry of Education, Harbin 150040, China.ORCID 0000-0002-4192-3245
Zhenhua GaoEngineering Research Center of Advanced Wooden Materials, Northeast Forestry University, Ministry of Education, Harbin 150040, China.

Funding

the Fundamental Research Funds for the Central Universities 2572023CT05the Innovation Training Program for College Students of Northeast Forestry University GN: S202310225071
6 · The paper itself

Abstract

In recent years, superhydrophobic coatings with self-cleaning abilities have attracted considerable attention. In this study, we introduced hydroxyl-terminated polydimethylsiloxane (OH-PDMS) into castor-oil-based waterborne polyurethanes and synthesized silicone-modified castor-oil-based UV-curable waterborne polyurethanes (SCWPU). Further, we identified the optimal amount of OH-PDMS to be added and introduced different amounts of micro- and nanoscale heptadecafluorodecyltrimethoxysilane-modified SiO

Indexed as

castor oilself-cleaningsilicone modificationsuperhydrophobic coatingUV curingwaterborne polyurethane coating

Identifiers

PMID38231972
PMCPMC10708309

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.