Evidence map›Paper›PMID 32198531›Full record

ArticleAnalytical and bioanalytical chemistry2020

High-throughput dielectrophoretic filtration of sub-micron and micro particles in macroscopic porous materials.

Malte Lorenz, Daniel Malangré, Fei Du, Michael Baune, Jorg Thöming, Georg R Pesch

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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.

Malte LorenzChemical Process Engineering (CVT), University of Bremen, Leobener Str. 6, 28359, Bremen, Germany.
Daniel MalangréCenter of Applied Space Technology and Microgravity (ZARM), University of Bremen, Am Fallturm 2, 28359, Bremen, Germany.
Fei DuChemical Process Engineering (CVT), University of Bremen, Leobener Str. 6, 28359, Bremen, Germany.
Michael BauneChemical Process Engineering (CVT), University of Bremen, Leobener Str. 6, 28359, Bremen, Germany.
Jorg ThömingChemical Process Engineering (CVT), University of Bremen, Leobener Str. 6, 28359, Bremen, Germany.
Georg R PeschChemical Process Engineering (CVT), University of Bremen, Leobener Str. 6, 28359, Bremen, Germany. gpesch@uni-bremen.de.

Funding

Bundesministerium für Wirtschaft und Energie 03ET7011SDeutsche Forschungsgemeinschaft GRK 1860
6 · The paper itself

Abstract

State-of-the-art dielectrophoretic (DEP) separation techniques provide unique properties to separate particles from a liquid or particles with different properties such as material or morphology from each other. Such separators do not operate at throughput that is sufficient for a vast fraction of separation tasks. This limitation exists because high electric field gradients are required to drive the separation which are generated by electrode microstructures that limit the maximum channel size. Here, we investigate DEP filtration, a technique that uses open porous microstructures instead of microfluidic devices to easily increase the filter cross section and, therefore, also the processable throughput by several orders of magnitude. Previously, we used simple microfluidic porous structures to derive design rules predicting the influence of key parameters on DEP filtration in real complex porous filters. Here, we study in depth DEP filtration in microporous ceramics and underpin the previously postulated dependencies by a broad parameter study (Lorenz et al., 2019). We will further verify our previous claim that the main separation mechanism is indeed positive DEP trapping by showing that we can switch from positive to negative DEP trapping when we increase the electric conductivity of the suspension. Two clearly separated trapping mechanisms (positive and negative DEP trapping) at different conductivities can be observed, and the transition between them matches theoretical predictions. This lays the foundation for selective particle trapping, and the results are a major step towards DEP filtration at high throughput to solve existing separation problems such as scrap recovery or cell separation in liquid biopsy. Graphical abstract.

Indexed as

DielectrophoresisMaterial-selective particle filtrationMicron and sub-micron particle separationOpen porous ceramic microstructures

Identifiers

PMID32198531
PMCPMC7235068

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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.