Evidence map›Paper›PMID 27462378›Full record

ArticleBiomicrofluidics2016

Nanoslit design for ion conductivity gradient enhanced dielectrophoresis for ultrafast biomarker enrichment in physiological media.

Ali Rohani, Walter Varhue, Kuo-Tang Liao, Chia-Fu Chou, Nathan S Swami

Abstract read
In one paragraph

Article in Biomicrofluidics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Dielectrophoresis of proteins: experimental data and evolving theory.Analytical and bioanalytical chemistry · 2020
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

5 authors.

Ali RohaniDepartment of Electrical and Computer Engineering, University of Virginia , Charlottesville, Virginia 22904, USA.
Walter VarhueDepartment of Electrical and Computer Engineering, University of Virginia , Charlottesville, Virginia 22904, USA.
Kuo-Tang LiaoInstitute of Physics , Academia Sinica , Taipei 11529, Taiwan.
Chia-Fu ChouInstitute of Physics , Academia Sinica , Taipei 11529, Taiwan.ORCID 0000-0003-0070-5556
Nathan S SwamiDepartment of Electrical and Computer Engineering, University of Virginia , Charlottesville, Virginia 22904, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selective and rapid enrichment of biomolecules is of great interest for biomarker discovery, protein crystallization, and in biosensing for speeding assay kinetics and reducing signal interferences. The current state of the art is based on DC electrokinetics, wherein localized ion depletion at the microchannel to nanochannel interface is used to enhance electric fields, and the resulting biomarker electromigration is balanced against electro-osmosis in the microchannel to cause high degrees of biomarker enrichment. However, biomarker enrichment is not selective, and the levels fall off within physiological media of high conductivity, due to a reduction in ion concentration polarization and electro-osmosis effects. Herein, we present a methodology for coupling AC electrokinetics with ion concentration polarization effects in nanoslits under DC fields, for enabling ultrafast biomarker enrichment in physiological media. Using AC fields at the critical frequency necessary for negative dielectrophoresis of the biomarker of interest, along with a critical offset DC field to create proximal ion accumulation and depletion regions along the perm-selective region inside a nanoslit, we enhance the localized field and field gradient to enable biomarker enrichment over a wide spatial extent along the nanoslit length. While enrichment under DC electrokinetics relies solely on ion depletion to enhance fields, this AC electrokinetic mechanism utilizes ion depletion as well as ion accumulation regions to enhance the field and its gradient. Hence, biomarker enrichment continues to be substantial in spite of the steady drop in nanostructure perm-selectivity within physiological media.

Identifiers

PMID27462378
PMCPMC4930445

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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.