Evidence map›Paper›PMID 35574261›Full record

ArticleNano research2022

Self-cleaning of superhydrophobic nanostructured surfaces at low humidity enhanced by vertical electric field.

Yijie Liu, Yujun Guo, Xueqin Zhang, Guoqiang Gao, Chaoqun Shi, Guizao Huang, Pengli Li, Qi Kang, Xingyi Huang, Guangning Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano research, 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. Coverable Self-Cleaning Glass via Abnormal Transport and Jump of Charged Particles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

10 authors.

Yijie LiuCollege of Electrical Engineering, Southwest Jiaotong University, Chengdu, 611756 China.
Yujun GuoCollege of Electrical Engineering, Southwest Jiaotong University, Chengdu, 611756 China.
Xueqin ZhangCollege of Electrical Engineering, Southwest Jiaotong University, Chengdu, 611756 China.
Guoqiang GaoCollege of Electrical Engineering, Southwest Jiaotong University, Chengdu, 611756 China.
Chaoqun ShiCollege of Electrical Engineering, Southwest Jiaotong University, Chengdu, 611756 China.
Guizao HuangCollege of Electrical Engineering, Southwest Jiaotong University, Chengdu, 611756 China.
Pengli LiDepartment of Polymer Science and Engineering, Shanghai Key Laboratory of Electrical Insulation and Thermal Ageing, State Key laboratory of Metal Matrix Composites, Shanghai Jiaotong University, Shanghai, 200240 China.
Qi KangDepartment of Polymer Science and Engineering, Shanghai Key Laboratory of Electrical Insulation and Thermal Ageing, State Key laboratory of Metal Matrix Composites, Shanghai Jiaotong University, Shanghai, 200240 China.
Xingyi HuangDepartment of Polymer Science and Engineering, Shanghai Key Laboratory of Electrical Insulation and Thermal Ageing, State Key laboratory of Metal Matrix Composites, Shanghai Jiaotong University, Shanghai, 200240 China.
Guangning WuCollege of Electrical Engineering, Southwest Jiaotong University, Chengdu, 611756 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-cleaning is the key factor that makes superhydrophobic nanostructured materials have wide applications. The self-cleaning effect, however, strongly depends on formations and movement of water droplets on superhydrophobic nanostructured surfaces, which is greatly restricted at low humidity (< 7.6 g·kg Electronic Supplementary Material: Supplementary material (experimental procedures, computational details, modeling process, supplementary figures, tables, and videos) is available in the online version of this article at 10.1007/s12274-022-4093-0.

Indexed as

electric fieldelectro-aggregationlow humidityself-cleaningsuperhydrophobic nanostructured surface

Identifiers

PMID35574261
PMCPMC9079215

What OpenQuestion holds

Textmetadata
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.