Evidence map›Paper›PMID 36422394›Full record

ArticleMicromachines2022

Improving Swimming Performance of Photolithography-Based Microswimmers Using Curvature Structures.

Liyuan Tan, Zihan Wang, Zhi Chen, Xiangcheng Shi, U Kei Cheang

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Liyuan TanDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Zihan WangDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0001-8606-1733
Zhi ChenDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0001-7246-8751
Xiangcheng ShiDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-6806-3660
U Kei CheangDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China.

Funding

Department of Education of Guangdong Province 2021ZDZX2037Science and Technology Innovation Committee Foundation of Shenzhen 20200925155648005Science and Technology Innovation Committee Foundation of Shenzhen RCYX20210609103644015Science and Technology Innovation Committee Foundation of Shenzhen ZDSYS20200811143601004Shenzhen municipal government Peacock Plan 20181119590C
6 · The paper itself

Abstract

The emergence of robotic microswimmers and their huge potential in biomedical applications such as drug delivery, non-invasive surgery, and bio-sensing facilitates studies to improve their effectiveness. Recently, achiral microswimmers that have neither flexible nor helical structures have garnered attention because of their simple structures and fabrication process while preserving adequate swimming velocity and controllability. In this paper, the crescent shape was utilized to create photolithography-fabricated crescent-shaped achiral microswimmers. The microswimmers were actuated using rotating magnetic fields at low Reynolds numbers. Compared with the previously reported achiral microswimmers, the crescent-shaped microswimmers showed significant improvement in forward swimming speed. The effects of different curvatures, arm angles, and procession angles on the velocities of microswimmers were investigated. Moreover, the optimal swimming motion was defined by adjusting the field strength of the magnetic field. Finally, the effect of the thickness of the microswimmers on their swimming velocity was investigated.

Indexed as

microrobotmicroswimmerphotolithographyswimming performance

Identifiers

PMID36422394
PMCPMC9694957

What OpenQuestion holds

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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.