Evidence map›Paper›PMID 38138393›Full record

ArticleMicromachines2023

Numerical Studies on the Motions of Magnetically Tagged Cells Driven by a Micromagnetic Matrix.

Shanjia Tao, Jianguo Wu, Yongqing He, Feng Jiao

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2023. 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, top 83% of its field
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, 0 citations in OpenAlex.

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

4 authors at 3 institutions in 1 country.

Shanjia TaoSchool of Mechanical Engineering, Chongqing Technology and Business University, Chongqing 400067, China.
Jianguo WuState Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China.
Yongqing HeChongqing Key Laboratory of Micro-Nano System and Intelligent Transduction, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China.ORCID 0000-0002-2425-2291
Feng JiaoSchool of Chemical Engineering, Kunming University of Science and Technology, Kunming 650500, China.ORCID 0009-0006-5604-2316
Chongqing Technology and Business University · CNChongqing University · CNKunming University of Science and Technology · CN

Funding

General Project of the Chongqing Natural Science Foundation cstc2021jcyj-msxmX0910National Natural Science Foundation of China 11962010Science Research Foundation of Education Department of Yunnan Province 2023J0139
6 · The paper itself

Abstract

Precisely controlling magnetically tagged cells in a complex environment is crucial to constructing a magneto-microfluidic platform. We propose a two-dimensional model for capturing magnetic beads from non-magnetic fluids under a micromagnetic matrix. A qualitative description of the relationship between the capture trajectory and the micromagnetic matrix with an alternating polarity configuration was obtained by computing the force curve of the magnetic particles. Three stages comprise the capture process: the first, where motion is a parabolic fall in weak fields; the second, where the motion becomes unpredictable due to the competition between gravity and magnetic force; and the third, where the micromagnetic matrix finally captures cells. Since it is not always obvious how many particles are adhered to the surface, attachment density is utilized to illustrate how the quantity of particles influences the capture path. The longitudinal magnetic load is calculated to measure the acquisition efficiency. The optimal adhesion density is 13%, and the maximum adhesion density is 18%. It has been demonstrated that a magnetic ring model with 100% adhesion density can impede the capture process. The results offer a theoretical foundation for enhancing the effectiveness of rare cell capture in practical applications.

Indexed as

adhesion densitycapture efficiencycapture trajectorymagnetic

Identifiers

PMID38138393
PMCPMC10745660
OpenAlexW4389572941

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.