Evidence map›Paper›PMID 36437301›Full record

ArticleScientific reports2022

Understanding the dynamics of fluid-structure interaction with an Air Deflected Microfluidic Chip (ADMC).

Chad Ten Pas, Ke Du, Long Pan, Ruo-Qian Wang, Shiyou Xu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
0.2field-weighted citation impact, top 52% of its field
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, 3 citations in OpenAlex.

  1. Article
  2. 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 at 4 institutions in 1 country.

Chad Ten PasDepartment of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY, 14623, USA.
Ke DuDepartment of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY, 14623, USA.
Long PanColgate-Palmolive Technology Center, 909 River Road, Piscataway, NJ, 08844, USA.
Ruo-Qian WangDepartment of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, United States. rq.wang@rutgers.edu.
Shiyou XuColgate-Palmolive Technology Center, 909 River Road, Piscataway, NJ, 08844, USA. shiyou_xu@colpal.com.
Colgate-Palmolive (United States) · USRochester Institute of Technology · USRutgers, The State University of New Jersey · USUniversity of California, Riverside · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A deformable microfluidic system and a fluidic dynamic model have been successfully coupled to understand the dynamic fluid-structure interaction in transient flow, designed to understand the dentine hypersensitivity caused by hydrodynamic theory. The Polydimethylsiloxane thin sidewalls of the microfluidic chip are deformed with air pressure ranging from 50 to 500 mbar to move the liquid meniscus in the central liquid channel. The experiments show that the meniscus sharply increased in the first 10th of second and the increase is nonlinearly proportional to the applied pressure. A theoretical model is developed based on the unsteady Bernoulli equation and can well predict the ending point of the liquid displacement as well as the dynamics process, regardless of the wall thickness. Moreover, an overshooting and oscillation phenomenon is observed by reducing the head loss coefficient by a few orders which could be the key to explain the dentine hypersensitivity caused by the liquid movement in the dentine tubules.

Indexed as

Dentin SensitivityMicrofluidic Analytical TechniquesHumansHydrodynamicsMicrofluidics

Identifiers

PMID36437301
PMCPMC9701768
OpenAlexW4310004241

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.