Evidence map›Paper›PMID 30404385›Full record

ArticleMicromachines2016

Microfluidic Mixing and Analog On-Chip Concentration Control Using Fluidic Dielectrophoresis.

Nicholas Mavrogiannis, Mitchell Desmond, Kenny Ling, Xiaotong Fu, Zachary Gagnon

Abstract read
In one paragraph

Article in Micromachines, 2016. 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.

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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

5 authors.

Nicholas MavrogiannisDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Maryland Hall 220A, Baltimore, MD 21218, USA. nmavrog1@jhu.edu.
Mitchell DesmondDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Maryland Hall 220A, Baltimore, MD 21218, USA. mdesmond42@gmail.com.
Kenny LingDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Maryland Hall 220A, Baltimore, MD 21218, USA. kling2@jhu.edu.
Xiaotong FuDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Maryland Hall 220A, Baltimore, MD 21218, USA. xfu7@jhu.edu.
Zachary GagnonDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Maryland Hall 220A, Baltimore, MD 21218, USA. zgagnon1@jhmi.edu.

Funding

National Science Foundation 1351253National Science Foundation 1511185
6 · The paper itself

Abstract

Microfluidic platforms capable of complex on-chip processing and liquid handling enable a wide variety of sensing, cellular, and material-related applications across a spectrum of disciplines in engineering and biology. However, there is a general lack of available active microscale mixing methods capable of dynamically controlling on-chip solute concentrations in real-time. Hence, multiple microfluidic fluid handling steps are often needed for applications that require buffers at varying on-chip concentrations. Here, we present a novel electrokinetic method for actively mixing laminar fluids and controlling on-chip concentrations in microfluidic channels using fluidic dielectrophoresis. Using a microfluidic channel junction, we co-flow three electrolyte streams side-by-side so that two outer conductive streams enclose a low conductive central stream. The tri-laminar flow is driven through an array of electrodes where the outer streams are electrokinetically deflected and forced to mix with the central flow field. This newly mixed central flow is then sent continuously downstream to serve as a concentration boundary condition for a microfluidic gradient chamber. We demonstrate that by actively mixing the upstream fluids, a variable concentration gradient can be formed dynamically downstream with single a fixed inlet concentration. This novel mixing approach offers a useful method for producing variable on-chip concentrations from a single inlet source.

Indexed as

chemical gradientfluidic dielectrophoresislaminar flowmicrofluidicsmixing

Identifiers

PMID30404385
PMCPMC6190360

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.