Evidence map›Paper›PMID 37811382›Full record

ArticleFrontiers in bioengineering and biotechnology2023

Porous polydimethylsiloxane films with specific surface wettability but distinct regular physical structures fabricated by 3D printing.

Zhoukun He, Na Wang, Linpeng Mu, Zhuo Wang, Jie Su, Yikun Chen, Mingdong Luo, Ya Wu, Xiaorong Lan, Jiayan Mao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. 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. Review
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.

Zhoukun HeSchool of Mechanical Engineering, Chengdu University, Chengdu, China.
Na WangSchool of Mechanical Engineering, Chengdu University, Chengdu, China.
Linpeng MuSchool of Mechanical Engineering, Chengdu University, Chengdu, China.
Zhuo WangSchool of Mechanical Engineering, Chengdu University, Chengdu, China.
Jie SuSchool of Mechanical Engineering, Chengdu University, Chengdu, China.
Yikun ChenSchool of Mechanical Engineering, Chengdu University, Chengdu, China.
Mingdong LuoLuzhou Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, The Affiliated Stomatological Hospital of Southwest Medical University, Luzhou, China.
Ya WuDepartment of Vascular Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Xiaorong LanLuzhou Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, The Affiliated Stomatological Hospital of Southwest Medical University, Luzhou, China.
Jiayan MaoDepartment of Nephrology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porous polydimethylsiloxane (PDMS) films with special surface wettability have potential applications in the biomedical, environmental, and structural mechanical fields. However, preparing porous PDMS films with a regular surface pattern using conventional methods, such as chemical foaming or physical pore formation, is challenging. In this study, porous PDMS films with a regular surface pattern are designed and prepared using 3D printing to ensure the formation of controllable and regular physical structures. First, the effect of the surface wettability of glass substrates with different surface energies (commercial hydrophilic glass and hydrophobic glass (F-glass) obtained by treating regular glass with 1

Indexed as

3D printinganisotropicPDMSsuperhydrophobicsurface wettability

Identifiers

PMID37811382
PMCPMC10551163

What OpenQuestion holds

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Registered trials

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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.