Evidence map›Paper›PMID 23908679›Full record

ArticleBiomicrofluidics2012

Tuning direct current streaming dielectrophoresis of proteins.

Asuka Nakano, Fernanda Camacho-Alanis, Tzu-Chiao Chao, Alexandra Ros

Abstract read
In one paragraph

Article in Biomicrofluidics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Dielectrophoresis of proteins: experimental data and evolving theory.Analytical and bioanalytical chemistry · 2020
    Article
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  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

4 authors.

Asuka NakanoDepartment of Chemistry and Biochemistry, Arizona State University, Tempe, Arizona 85287, USA.
Fernanda Camacho-Alanis
Tzu-Chiao Chao
Alexandra Ros

Funding

A Microfluidic Protein Separation Device Based on DielectrophoresisR21RR025826 · NCRR · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI ROS, ALEXANDRA · 2010 to 2011
$361k
A Microfluidic Protein Separation Device Based on DielectrophoresisR21GM103522 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI ROS, ALEXANDRA · 2012 to 2012
$180k
NCRR NIH HHS R21 RR025826NIGMS NIH HHS R21 GM103522
6 · The paper itself

Abstract

Dielectrophoresis (DEP) of biomolecules has large potential to serve as a novel selectivity parameter for bioanalytical methods such as (pre)concentration, fractionation, and separation. However, in contrast to well-characterized biological cells and (nano)particles, the mechanism of protein DEP is poorly understood, limiting bioanalytical applications for proteins. Here, we demonstrate a detailed investigation of factors influencing DEP of diagnostically relevant immunoglobulin G (IgG) molecules using insulator-based DEP (iDEP) under DC conditions. We found that the pH range in which concentration of IgG due to streaming iDEP occurs without aggregate formation matches the pH range suitable for immunoreactions. Numerical simulations of the electrokinetic factors pertaining to DEP streaming in this range further suggested that the protein charge and electroosmotic flow significantly influence iDEP streaming. These predictions are in accordance with the experimentally observed pH-dependent iDEP streaming profiles as well as the determined IgG molecular properties. Moreover, we observed a transition in the streaming behavior caused by a change from positive to negative DEP induced through micelle formation for the first time experimentally, which is in excellent qualitative agreement with numerical simulations. Our study thus relates molecular immunoglobulin properties to observed iDEP, which will be useful for the future development of protein (pre)concentration or separation methods based on DEP.

Identifiers

PMID23908679
PMCPMC3423305

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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.