Evidence map›Paper›PMID 31832577›Full record

ReviewAPL bioengineering2019

Label-free microfluidic sorting of microparticles.

Jian Zhou, Prithviraj Mukherjee, Hua Gao, Qiyue Luan, Ian Papautsky

Abstract readReview
In one paragraph

Review in APL bioengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Microfluidic Nanoparticle Separation for Precision Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Microfluidics combined with fluorescenceFrontiers in bioengineering and biotechnology · 2022
    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

5 authors.

Jian ZhouDepartment of Bioengineering, University of Illinois at Chicago, Chicago, Illinois 60607, USA.ORCID https://orcid.org/0000-0002-8676-8891
Prithviraj MukherjeeDepartment of Bioengineering, University of Illinois at Chicago, Chicago, Illinois 60607, USA.
Hua GaoDepartment of Bioengineering, University of Illinois at Chicago, Chicago, Illinois 60607, USA.
Qiyue LuanDepartment of Bioengineering, University of Illinois at Chicago, Chicago, Illinois 60607, USA.ORCID https://orcid.org/0000-0003-4047-9856
Ian PapautskyDepartment of Bioengineering, University of Illinois at Chicago, Chicago, Illinois 60607, USA.ORCID https://orcid.org/0000-0002-1396-9625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Massive growth of the microfluidics field has triggered numerous advances in focusing, separating, ordering, concentrating, and mixing of microparticles. Microfluidic systems capable of performing these functions are rapidly finding applications in industrial, environmental, and biomedical fields. Passive and label-free methods are one of the major categories of such systems that have received enormous attention owing to device operational simplicity and low costs. With new platforms continuously being proposed, our aim here is to provide an updated overview of the state of the art for passive label-free microparticle separation, with emphasis on performance and operational conditions. In addition to the now common separation approaches using Newtonian flows, such as deterministic lateral displacement, pinched flow fractionation, cross-flow filtration, hydrodynamic filtration, and inertial microfluidics, we also discuss separation approaches using non-Newtonian, viscoelastic flow. We then highlight the newly emerging approach based on shear-induced diffusion, which enables direct processing of complex samples such as untreated whole blood. Finally, we hope that an improved understanding of label-free passive sorting approaches can lead to sophisticated and useful platforms toward automation in industrial, environmental, and biomedical fields.

Identifiers

PMID31832577
PMCPMC6906121

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Registered trials

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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.