Evidence map›Paper›PMID 42338661›Full record

ArticleFluids (Basel, Switzerland)2025

Evaluation of Flow-Induced Shear in a Porous Microfluidic Slide: CFD Analysis and Experimental Investigation.

Manoela Neves, Gayathri Aparnasai Reddy, Anitha Niyingenera, Norah Delaney, Wilson S Meng, Rana Zakerzadeh

Abstract read
In one paragraph

Article in Fluids (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Manoela NevesDepartment of Biomedical Engineering, School of Science and Engineering, Duquesne University, Pittsburgh, PA 15219, USA.ORCID 0009-0004-2887-6490
Gayathri Aparnasai ReddyDivision of Pharmaceutical Sciences, School of Pharmacy, Duquesne University, Pittsburgh, PA 15282, USA.ORCID 0000-0001-8210-6359
Anitha NiyingeneraDepartment of Biomedical Engineering, School of Science and Engineering, Duquesne University, Pittsburgh, PA 15219, USA.
Norah DelaneyDepartment of Biomedical Engineering, School of Science and Engineering, Duquesne University, Pittsburgh, PA 15219, USA.
Wilson S MengDivision of Pharmaceutical Sciences, School of Pharmacy, Duquesne University, Pittsburgh, PA 15282, USA.
Rana ZakerzadehDepartment of Biomedical Engineering, School of Science and Engineering, Duquesne University, Pittsburgh, PA 15219, USA.ORCID 0000-0003-0927-8896

Funding

Optimization of a Self-Adjuvanting Particle System for Delivering Respiratory Syncytial Virus Prefusion ProteinR21AI171241 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI EMPEY, KERRY MCGARR, MENG, WILSON S · 2023 to 2024
$404k
NIAID NIH HHS R21 AI171241
6 · The paper itself

Abstract

Microfluidic devices offer well-defined physical environments that are suitable for effective cell seeding and in vitro three-dimensional (3D) cell culture experiments. These platforms have been employed to model in vivo conditions for studying mechanical forces, cell-extracellular matrix (ECM) interactions, and to elucidate transport mechanisms in 3D tissue-like structures, such as tumor and lymph node organoids. Studies have shown that fluid flow behavior in microfluidic slides (μ-slides) directly influences shear stress, which has emerged as a key factor affecting cell proliferation and differentiation. This study investigates fluid flow in the porous channel of a μ-slide using computational fluid dynamics (CFD) techniques to analyze the impact of perfusion flow rate and porous properties on resulting shear stresses. The model of the μ-slide filled with a permeable biomaterial is considered. Porous media fluid flow in the channel is characterized by adding a momentum loss term to the standard Navier-Stokes equations, with a physiological range of permeability values. Numerical simulations are conducted to obtain data and contour plots of the filtration velocity and flow-induced shear stress distributions within the device channel. The filtration flow is subsequently measured by performing protein perfusions into the slide embedded with native human-derived ECM, while the flow rate is controlled using a syringe pump. The relationships between inlet flow rate and shear stress, as well as filtration flow and ECM permeability, are analyzed. The findings provide insights into the impact of shear stress, informing the optimization of perfusion conditions for studying tissues and cells under fluid flow.

Indexed as

computational fluid dynamics (CFD)filtration velocitymicrofluidic devicesmodeling and simulationporous extracellular matrixshear stress

Identifiers

PMID42338661
PMCPMC13284728

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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.