Evidence map›Paper›PMID 28555231›Full record

ArticleThe Analyst2017

Micropatterned macroporous structures in microfluidic devices for viral separation from whole blood.

Krissada Surawathanawises, Victoria Wiedorn, Xuanhong Cheng

Abstract read
In one paragraph

Article in The Analyst, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
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

3 authors.

Krissada SurawathanawisesDepartment of Materials Science and Engineering/Bioengineering Program, Lehigh University, Bethlehem, PA 18015, USA. xuc207@lehigh.edu.
Victoria WiedornDepartment of Materials Science and Engineering/Bioengineering Program, Lehigh University, Bethlehem, PA 18015, USA. xuc207@lehigh.edu.
Xuanhong ChengDepartment of Materials Science and Engineering/Bioengineering Program, Lehigh University, Bethlehem, PA 18015, USA. xuc207@lehigh.edu.ORCID http://orcid.org/0000-0002-6331-8572

Funding

A Microfluidic Device for Label-free HIV Virion Count at Point of Care SettingsR21AI081638 · NIAID · LEHIGH UNIVERSITY · PI CHENG, XUANHONG · 2009 to 2010
$410k
NIAID NIH HHS R21 AI081638
6 · The paper itself

Abstract

Separation and enrichment of bio-nanoparticles from cell suspensions and blood are critical steps in many chemical and biomedical practices. We demonstrate here the design and fabrication of a microfluidic immunochromatographic device incorporating regular and multiscale monolithic structures to capture viruses from blood. The device contains micropatterned arrays of macroporous materials to perform size-exclusion and affinity chromatography in a simple flow-through process. The microscale gaps in the array allow the passage of cells while the macroporous matrices promote viral capture. Computational analyses reveal that fluid permeation into the porous matrices is controllable by the micropattern shape, separation distance and dimensions. Experimental analyses using blood samples containing human immunodeficiency viruses (HIV) as a model system further prove significantly improved viral capture efficiency using devices incorporating multiscale structures than those containing solid micropatterns. Such microfluidic devices with regular and multiscale structures have a potential for the separation and concentration of a wide range of bio-nanoparticles as well as macromolecules from complex mixtures containing both nano- and micro-sized species.

Indexed as

Lab-On-A-Chip DevicesBloodHIVHumansNanoparticlesPorosity

Identifiers

PMID28555231
PMCPMC5545177

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.