Evidence map›Paper›PMID 31484453›Full record

ArticleSensors (Basel, Switzerland)2019

Characterization of Simple and Double Yeast Cells Using Dielectrophoretic Force Measurement.

Fernando-Juan García-Diego, Mario Rubio-Chavarría, Pedro Beltrán, Francisco J Espinós

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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

4 authors.

Fernando-Juan García-DiegoACUMA Research Center Universitat Politècnica de València, Av. de los Naranjos s/n, 46022 Valencia, Spain. fjgarcid@upv.es.ORCID 0000-0002-7062-245X
Mario Rubio-ChavarríaEscuela Técnica Superior de Ingenieros Industriales Universitat Politècnica de València, Av. de los Naranjos s/n, 46022 Valencia, Spain.ORCID 0000-0003-2783-9909
Pedro BeltránACUMA Research Center Universitat Politècnica de València, Av. de los Naranjos s/n, 46022 Valencia, Spain.
Francisco J EspinósACUMA Research Center Universitat Politècnica de València, Av. de los Naranjos s/n, 46022 Valencia, Spain.ORCID 0000-0001-5901-646X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dielectrophoretic force is an electric force experienced by particles subjected to non-uniform electric fields. In recent years, plenty of dielectrophoretic force (DEP) applications have been developed. Most of these works have been centered on particle positioning and manipulation. DEP particle characterization has been left in the background. Likewise, these characterizations have studied the electric properties of particles from a qualitative point of view. This article focuses on the quantitative measurement of cells' dielectric force, specifically yeast cells. The measures are obtained as the results of a theoretical model and an instrumental method, both of which are developed and described in the present article, based on a dielectrophoretic chamber made of two V-shaped placed electrodes. In this study, 845 cells were measured. For each one, six speeds were taken at different points in its trajectory. Furthermore, the chamber design is repeatable, and this was the first time that measurements of dielectrophoretic force and cell velocity for double yeast cells were accomplished. To validate the results obtained in the present research, the results have been compared with the dielectric properties of yeast cells collected in the pre-existing literature.

Indexed as

ElectrophoresisModels, TheoreticalDEPdielectrophoresisdoublemeasurementsimplestokesyeast cell

Identifiers

PMID31484453
PMCPMC6749354

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.