Evidence map›Paper›PMID 39191756›Full record

ArticleNature communications2024

Comprehensive modeling of corkscrew motion in micro-/nano-robots with general helical structures.

Ningning Hu, Lujia Ding, Aihui Wang, Wenju Zhou, Chris Zhang, Bing Zhang, Ruixue Yin

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

7 authors.

Ningning Hu *School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China.ORCID 0000-0003-1134-2500
Lujia Ding *Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK, Canada. dominic.ding.1024@gmail.com.ORCID 0000-0002-8009-6609
Aihui WangSchool of Automation and Electrical Engineering, Zhongyuan University of Technology, Zhengzhou, 450007, China.
Wenju ZhouSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China.
Chris ZhangDivision of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK, Canada.
Bing ZhangSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China. bingzhang84@shu.edu.cn.ORCID 0000-0001-5650-2518
Ruixue YinSchool of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China. yinruixue@ecust.edu.cn.ORCID 0000-0002-1326-6145

Funding

China Scholarship Council (CSC) 202106890059National Natural Science Foundation of China (National Science Foundation of China) 81801795Shanghai University (SHU) 13-G210-18-230
6 · The paper itself

Abstract

Micro-/nano-robots (MNRs) have impressive potential in minimally invasive targeted therapeutics through blood vessels, which has disruptive impact to improving human health. However, the clinical use of MNRs has yet to happen due to intrinsic limitations, such as overcoming blood flow. These bottlenecks have not been empirically solved. To tackle them, a full understanding of MNR behaviors is necessary as the first step. The common movement principle of MNRs is corkscrew motion with a helical structure. The existing dynamic model is only applicable to standard helical MNRs. In this paper, we propose a dynamic model for general MNRs without structure limitations. Comprehensive simulations and experiments were conducted, which shows the validity and accuracy of our model. Such a model can serve as a reliable basis for the design, optimization, and control of MNRs and as a powerful tool for gaining fluid dynamic insights, thus accelerating the development of the field.

Indexed as

MotionRoboticsComputer SimulationEquipment DesignHumansHydrodynamicsModels, TheoreticalNanotechnology

Identifiers

PMID39191756
PMCPMC11350183

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.