Evidence map›Paper›PMID 29104525›Full record

ArticleAdvanced functional materials2017

Acoustic Separation of Nanoparticles in Continuous Flow.

Mengxi Wu, Zhangming Mao, Kejie Chen, Hunter Bachman, Yuchao Chen, Joseph Rufo, Liqiang Ren, Peng Li, Lin Wang, Tony Jun Huang

Abstract read
In one paragraph

Article in Advanced functional materials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Acoustofluidic Biosensors.Micromachines · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Optical sorting: past, present and future.Light, science & applications · 2025
    Review
  6. Microfluidic Nanoparticle Separation for Precision Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Engineering of Cell Derived-Nanovesicle as an Alternative to Exosome Therapy.Tissue engineering and regenerative medicine · 2024
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Mengxi WuDepartment of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA.
Zhangming MaoDepartment of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA.
Kejie ChenDepartment of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA.
Hunter BachmanDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
Yuchao ChenDepartment of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA.
Joseph RufoDepartment of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA.
Liqiang RenDepartment of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA.
Peng LiDepartment of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA.
Lin WangAscent Bio-Nano Technologies Inc., Research Triangle Park, NC 27709, USA.
Tony Jun HuangDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.

Funding

Extracellular vesicles and their ncRNA cargo as markers of trophoblast injuryR01HD086325 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI SADOVSKY, YOEL · 2015 to 2019
$3.6M
NICHD NIH HHS R01 HD086325
6 · The paper itself

Abstract

The separation of nanoscale particles based on their differences in size is an essential technique to the nanoscience and nanotechnology community. Here, nanoparticles are successfully separated in a continuous flow by using tilted-angle standing surface acoustic waves. The acoustic field deflects nanoparticles based on volume, and the fractionation of nanoparticles is optimized by tuning the cutoff parameters. The continuous separation of nanoparticlesis demonstrated with a ≈90% recovery rate. The acoustic nanoparticle separation method is versatile, non-invasive, and simple.

Identifiers

PMID29104525
PMCPMC5668689

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.