Evidence map›Paper›PMID 32606445›Full record

ArticleScientific reports2020

Aerosol classification by dielectrophoresis: a theoretical study on spherical particles.

Malte Lorenz, Alfred P Weber, Michael Baune, Jorg Thöming, Georg R Pesch

Abstract read
In one paragraph

Article in Scientific reports, 2020. 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
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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.

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

5 authors.

Malte LorenzFaculty of Production Engineering, Chemical Process Engineering (CVT), University of Bremen, Bremen, Germany.
Alfred P WeberInstitute of Particle Technology, Clausthal University of Technology, Clausthal-Zellerfeld, Germany.
Michael BauneFaculty of Production Engineering, Chemical Process Engineering (CVT), University of Bremen, Bremen, Germany.
Jorg ThömingFaculty of Production Engineering, Chemical Process Engineering (CVT), University of Bremen, Bremen, Germany.
Georg R PeschFaculty of Production Engineering, Chemical Process Engineering (CVT), University of Bremen, Bremen, Germany. gpesch@uni-bremen.de.

Funding

Deutsche Forschungsgemeinschaft GRK 1860
6 · The paper itself

Abstract

The possibilities and limitations using dielectrophoresis (DEP) for the dry classification of spherical aerosol particles was evaluated at low concentrations in a theoretical study. For an instrument with the geometry of concentric cylinders (similar to cylindrical DMA), the dependencies of target particle diameter [Formula: see text], resolution, and yield of the DEP classification on residence time, applied electric field strength, and pressure of the carrier gas were investigated. Further, the diffusion influence on the classification was considered. It was found that [Formula: see text] scales with the mean gas flow velocity [Formula: see text], classifier length L, and electric field strength E as [Formula: see text]. The resolution of the classification depends on the particle diameter and scales proportionally to [Formula: see text]. It is constrained by the flow ratio [Formula: see text] (i.e., sheath gas to aerosol flow), electrode diameters, and applied electric field strength. The classification yield increases with the ratio of the width of the extended outlet slit [Formula: see text] to the diffusion induced broadening [Formula: see text]. As expected, resolution and yield exhibit opposite dependencies on [Formula: see text]. Our simulations show that DEP classification can principally cover a highly interesting particle size range from 100 nm to [Formula: see text] while being directly particle size-selective and particle charge independent.

Identifiers

PMID32606445
PMCPMC7327003

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