Evidence map›Paper›PMID 25382864›Full record

ArticleIEEE transactions on magnetics2013

Inverted Linear Halbach Array for Separation of Magnetic Nanoparticles.

Y Ijiri, C Poudel, P S Williams, L R Moore, T Orita, M Zborowski

Abstract read
In one paragraph

Article in IEEE transactions on magnetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. A quantitative determination of magnetic nanoparticle separation using on-off field operation of quadrupole magnetic field-flow fractionation (QMgFFF).Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2013
    Article
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.

Y IjiriDepartment of Physics and Astronomy, Oberlin College, Oberlin, OH 44074 USA.
C PoudelDepartment of Physics and Astronomy, Oberlin College, Oberlin, OH 44074 USA.
P S WilliamsDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195 USA ; Cambrian Technologies, Inc., Cleveland, OH 44109 USA.
L R MooreDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195 USA.
T OritaDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195 USA.
M ZborowskiDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195 USA.

Funding

Magnetophoretic Cell Sorting and AnalysisR01CA062349 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI ZBOROWSKI, MACIEJ · 1994 to 2015
$5.5M
NCI NIH HHS R01 CA062349
6 · The paper itself

Abstract

A linear array of Nd-Fe-B magnets has been designed and constructed in an inverted Halbach configuration for use in separating magnetic nanoparticles. The array provides a large region of relatively low magnetic field, yet high magnetic field gradient in agreement with finite element modeling calculations. The magnet assembly has been combined with a flow channel for magnetic nanoparticle suspensions, such that for an appropriate distance away from the assembly, nanoparticles of higher moment aggregate and accumulate against the channel wall, with lower moment nanoparticles flowing unaffected. The device is demonstrated for iron oxide nanoparticles with diameters of ~ 5 and 20 nm. In comparison to other approaches, the inverted Halbach array is more amenable to modeling and to scaling up to preparative quantities of particles.

Indexed as

magnetic liquidsmagnetic separationnanoparticlespermanent magnets

Identifiers

PMID25382864
PMCPMC4224115

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.