Evidence map›Paper›PMID 32486500›Full record

ArticleMicromachines2020

Investigation on Inertial Sorter Coupled with Magnetophoretic Effect for Nonmagnetic Microparticles.

Jiayou Du, Long Li, Qiuyi Zhuo, Ruijin Wang, Zefei Zhu

Abstract read
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Jiayou DuSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Long LiSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Qiuyi ZhuoSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Ruijin WangSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Zefei ZhuSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.

Funding

Fundamental Research Funds for the Provincial Universities of Zhejiang GK199900299012-026National Natural Science Foundation of China 11572107
6 · The paper itself

Abstract

The sizes of most prokaryotic cells are several microns. It is very difficult to separate cells with similar sizes. A sorter with a contraction-expansion microchannel and applied magnetic field is designed to sort microparticles with diameters of 3, 4 and 5 microns. To evaluate the sorting efficiency of the designed sorter, numerical simulations for calculating the distributions of microparticles with similar sizes were carried out for various magnetic fields, inlet velocities, sheath flow ratios and structural parameters. The numerical results indicate that micro-particles with diameters of 3, 4 and 5 microns can be sorted efficiently in such a sorter within appropriate parameters. Furthermore, it is shown that a bigger particle size and more powerful magnetic field can result in a greater lateral migration of microparticles. The sorting efficiency of microparticles promotes a lower inlet velocity and greater sheath flow ratios. A smaller contraction-expansion ratio can induce a greater space between particle-bands. Finally, the micro particle image velocity (micro-PIV) experiments were conducted to obtain the bandwidths and spaces between particle-bands. The comparisons between the numerical and experimental results show a good agreement and make the validity of the numerical results certain.

Indexed as

inertial effectmagnetophoretic effectnonmagnetic microparticlessorting efficiency

Identifiers

PMID32486500
PMCPMC7344843

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.