Evidence map›Paper›PMID 39597182›Full record

ArticleMicromachines2024

Inverse Tesla Valve as Micromixer for Water Purification.

Christos Liosis, George Sofiadis, Evangelos Karvelas, Theodoros Karakasidis, Ioannis Sarris

Abstract read
In one paragraph

Article in Micromachines, 2024. 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. Article
  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

5 authors.

Christos LiosisDepartment of Mechanical Engineering, University of West Attica, Egaleo, 12241 Athens, Greece.ORCID 0000-0002-4371-480X
George SofiadisDepartment of Mechanical Engineering, University of West Attica, Egaleo, 12241 Athens, Greece.ORCID 0000-0002-2273-967X
Evangelos KarvelasDepartment of Mechanical Engineering, University of West Attica, Egaleo, 12241 Athens, Greece.ORCID 0000-0002-1592-5829
Theodoros KarakasidisCondensed Matter Physics Laboratory, Department of Physics, University of Thessaly, 35100 Lamia, Greece.ORCID 0000-0001-9580-0702
Ioannis SarrisDepartment of Mechanical Engineering, University of West Attica, Egaleo, 12241 Athens, Greece.ORCID 0000-0002-6542-0490

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contaminated water has remained an unsolved problem for decades, particularly when the contamination derived from heavy metals. A possible solution is to mix the contaminated water with magnetic nanoparticles so that an adsorption process can take place. In that frame, Tesla valve micromixer and Fe3O4 magnetic nanoparticles were selected to perform simulations for encounter maximum mixing efficiency. These simulations focus on inlet velocities ratios between contaminated water and nanoparticles and inlet rates of nanoparticles. The maximum mixing efficiency was 44% for the inverse double Tesla micromixer found for the combination of Fe3O4 nanoparticles as the inlet rate and with inlet velocity ratios of VpVc=10.

Indexed as

Fe3O4micromixernanoparticlesOpenFoamTesla

Identifiers

PMID39597182
PMCPMC11596631

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.