Evidence map›Paper›PMID 33348930›Full record

ArticleMicromachines2020

Dielectrophoresis Response of Water-in-Oil-in-Water Double Emulsion Droplets with Singular or Dual Cores.

Tianyi Jiang, Yankai Jia, Haizhen Sun, Xiaokang Deng, Dewei Tang, Yukun Ren

Abstract read
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. Review
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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.

Tianyi JiangSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China.
Yankai JiaSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China.
Haizhen SunSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China.
Xiaokang DengSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China.
Dewei TangSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China.
Yukun RenSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China.

Funding

National Natural Science Foundation of China 12072096, 11872165, 11702075
6 · The paper itself

Abstract

Microfluidic technologies have enabled generation of exquisite multiple emulsion droplets, which have been used in many fields, including single-cell assays, micro-sized chemical reactions, and material syntheses. Electrical controlling is an important technique for droplet manipulation in microfluidic systems, but the dielectrophoretic behaviors of multiple emulsion droplets in electrical fields are rarely studied. Here, we report on the dielectrophoresis response of double emulsion droplets in AC electric fields in microfluidic channel. A core-shell model is utilized for analyzing the polarization of droplet interfaces and the overall dielectrophoresis (DEP) force. The water-in-oil-in-water droplets, generated by glass capillary devices, experience negative DEP at low field frequency. At high frequency, however, the polarity of DEP is tunable by adjusting droplet shell thickness or core conductivity. Then, the behavior of droplets with two inner cores is investigated, where the droplets undergo rotation before being repelled or attracted by the strong field area. This work should benefit a wide range of applications that require manipulation of double emulsion droplets by electric fields.

Indexed as

dielectrophoresisdouble emulsionsdroplet manipulationmultiple droplets

Identifiers

PMID33348930
PMCPMC7766960

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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.