Evidence map›Paper›PMID 39337815›Full record

ArticleMicromachines2024

Laser Direct Writing of Setaria Virids-Inspired Hierarchical Surface with TiO

Qingxu Zhang, Yanyan Yang, Shijie Huo, Shucheng Duan, Tianao Han, Guang Liu, Kaiteng Zhang, Dengke Chen, Guang Yang, Huawei Chen

Abstract read
In one paragraph

Article in Micromachines, 2024. 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

10 authors.

Qingxu ZhangSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Yanyan Yang960 Hospital of the PLA, Tai'an 271000, China.
Shijie HuoSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Shucheng DuanSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Tianao HanSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Guang LiuSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.ORCID 0000-0001-7756-1787
Kaiteng ZhangCollege of Transportation, Ludong University, Yantai 264025, China.
Dengke ChenCollege of Transportation, Ludong University, Yantai 264025, China.
Guang YangSchool of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Huawei ChenSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.ORCID 0000-0003-1766-421X

Funding

Hebei Natural Science Foundation E2022208039National Natural Science Foundation of China 52205306, 51935001, 52305311Science and Technology Project of Hebei Education Department BJK2023028Shandong Natural Science Foundation ZR2023QE018
6 · The paper itself

Abstract

In minimally invasive surgery, the tendency for human tissue to adhere to the electrosurgical scalpel can complicate procedures and elevate the risk of medical accidents. Consequently, the development of an electrosurgical scalpel with an anti-sticking coating is critically important. Drawing inspiration from nature, we identified that the leaves of Setaria Virids exhibit exceptional non-stick properties. Utilizing this natural surface texture as a model, we designed and fabricated a specialized anti-sticking surface for electrosurgical scalpels. Employing nanosecond laser direct writing ablation technology, we created a micro-nano textured surface on the high-frequency electrosurgical scalpel that mimics the structure found on Setaria Virids leaves. Subsequently, a TiO

Indexed as

anti-stickinghierarchical micro texturinglaser direct writingsetaria viridssoft tissueTiO2 coatings

Identifiers

PMID39337815
PMCPMC11433979

What OpenQuestion holds

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LicenceCC BY
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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.