Evidence map›Paper›PMID 37519826›Full record

ArticleMicrosystems & nanoengineering2023

Numerical investigation of the dynamics of a rigid spherical particle in a vortical cross-slot flow at moderate inertia.

Konstantinos Kechagidis, Benjamin Owen, Lionel Guillou, Henry Tse, Dino Di Carlo, Timm Krüger

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Konstantinos KechagidisSchool of Engineering, Institute for Multiscale Thermofluids, University of Edinburgh, W Mains Rd, Edinburgh, EH9 3JW Scotland UK.ORCID 0000-0001-9885-7149
Benjamin OwenSchool of Engineering, Institute for Multiscale Thermofluids, University of Edinburgh, W Mains Rd, Edinburgh, EH9 3JW Scotland UK.ORCID 0000-0003-1948-9160
Lionel GuillouCytovale, Inc., Executive Park Blvd., San Fransisco, CA 90095 CA USA.
Henry TseCytovale, Inc., Executive Park Blvd., San Fransisco, CA 90095 CA USA.
Dino Di CarloDepartment of Bioengineering, University of California, Westwood Plaza, Los Angeles, 610101 CA USA.ORCID 0000-0003-3942-4284
Timm KrügerSchool of Engineering, Institute for Multiscale Thermofluids, University of Edinburgh, W Mains Rd, Edinburgh, EH9 3JW Scotland UK.ORCID 0000-0003-2934-2699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of flow and particle dynamics in microfluidic cross-slot channels is of high relevance for lab-on-a-chip applications. In this work, we investigate the dynamics of a rigid spherical particle in a cross-slot junction for a channel height-to-width ratio of 0.6 and at a Reynolds number of 120 for which a steady vortex exists in the junction area. Using an in-house immersed-boundary-lattice-Boltzmann code, we analyse the effect of the entry position of the particle in the junction and the particle size on the dynamics and trajectory shape of the particle. We find that the dynamics of the particle depend strongly on its lateral entry position in the junction and weakly on its vertical entry position; particles that enter close to the centre show trajectory oscillations. Larger particles have longer residence times in the junction and tend to oscillate less due to their confinement. Our work contributes to the understanding of particle dynamics in intersecting flows and enables the design of optimised geometries for cytometry and particle manipulation.

Indexed as

EngineeringMicrofluidicsPhysics

Identifiers

PMID37519826
PMCPMC10372015

What OpenQuestion holds

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LicenceCC BY
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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.