Evidence map›Paper›PMID 28256738›Full record

ArticleElectrophoresis2017

Dielectrophoresis assisted loading and unloading of microwells for impedance spectroscopy.

Amin Mansoorifar, Anil Koklu, Ahmet C Sabuncu, Ali Beskok

Abstract read
In one paragraph

Article in Electrophoresis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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.

Amin MansoorifarDepartment of Mechanical Engineering, Southern Methodist University, Dallas, TX, USA.
Anil KokluDepartment of Mechanical Engineering, Southern Methodist University, Dallas, TX, USA.
Ahmet C SabuncuDepartment of Mechanical Engineering, Southern Methodist University, Dallas, TX, USA.
Ali BeskokDepartment of Mechanical Engineering, Southern Methodist University, Dallas, TX, USA.

Funding

Title: Dielectric properties of chondrocytes in a changing environment.R21AR063334 · NIAMS · OLD DOMINION UNIVERSITY · PI STACEY, MICHAEL WILLIAM · 2013 to 2014
$352k
NIAMS NIH HHS R21 AR063334
6 · The paper itself

Abstract

Dielectric spectroscopy (DS) is a noninvasive, label-free, fast, and promising technique for measuring dielectric properties of biological cells in real time. We demonstrate a microchip that consists of electro-activated microwell arrays for positive dielectrophoresis assisted cell capture, DS measurements, and negative dielectrophoresis driven cell unloading; thus, providing a high-throughput cell analysis platform. To the best of our knowledge, this is the first microfluidic chip that combines electro-activated microwells and DS to analyze biological cells. Device performance is tested using Saccharomyces cerevisiae (yeast) cells. DEP response of yeast cells is determined by measuring their Clausius-Mossotti factor using biophysical models in parallel plate microelectrode geometry. This information is used to determine the excitation frequency to load and unload wells. Effect of yeast cells on the measured impedance spectrum was examined both experimentally and numerically. Good match between the numerical and experimental results establishes the potential use of the microchip device for extracting subcellular properties of biological cells in a rapid and nonexpensive manner.

Indexed as

Electrophoresis, MicrochipLab-On-A-Chip DevicesSaccharomyces cerevisiaeComputer SimulationDielectric SpectroscopyEquipment DesignGoldMicroelectrodesMicrofluidicsModels, TheoreticalUltraviolet RaysGoldDielectric spectroscopyDielectrophoresisElectro-activated microwells

Identifiers

PMID28256738
PMCPMC5547746

What OpenQuestion holds

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Registered trials

None linked

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.