Evidence map›Paper›PMID 41595968›Full record

ArticleBioengineering (Basel, Switzerland)2025

Investigation of Vibration-Induced Transport of Newtonian and Non-Newtonian Fluids in Porous Media Using Lattice Boltzmann Method.

Soon Wook Kwon, Hee Min Lee, Hyun Cheol Yeom, Chang Sup Oh, Joon Sang Lee

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Soon Wook KwonDivision of Quantum Computing, Department of Mechanical Engineering, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0009-0005-0658-1891
Hee Min LeeDivision of Quantum Computing, Department of Mechanical Engineering, Yonsei University, Seoul 03722, Republic of Korea.
Hyun Cheol YeomMedihub Inc., Gunpo-si 15808, Republic of Korea.
Chang Sup OhMedihub Inc., Gunpo-si 15808, Republic of Korea.
Joon Sang LeeDivision of Quantum Computing, Department of Mechanical Engineering, Yonsei University, Seoul 03722, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain and variable uptake remain practical barriers to needle-based delivery. Device-level vibration has emerged as a simple strategy for improving tolerability and dispersion, but its fluid-mechanical basis remains incomplete. Using a lattice Boltzmann model with a porous-media skin surrogate, we applied time-periodic inlet pressures at 0%, 16.6% (ΔP1), and 35.1% (ΔP2) amplitudes to Newtonian, model shear-thinning, and clinically measured protein formulations. We quantified the wall shear stress, wetted area, dispersion length, and pressure cost over one cycle. Vibration increased the normalized wetted area by 10.6% for Newtonian flow and by 15.9% and 21.3% for the non-Newtonian cases at ΔP1 and ΔP2, respectively, while advancing the penetration front and lateral dispersion. The one-cycle pressure cost per wetted area decreased by 3.9% for Newtonian flow and by 5.96% and 7.80% for non-Newtonian flows. For shear-thinning fluids, the wall-shear history was reshaped, with a brief early amplification and late-phase mean reductions of 10.3% and 13.3% at ΔP1 and ΔP2. These results establish a fluid-mechanical mechanism linking clinically relevant vibration amplitudes to reduced sustained shear exposure, deeper and broader depot formation, and improved conditions for drug uptake.

Indexed as

drug uptakelattice Boltzmann methodnon-Newtonian rheologyporous mediavibration-assisted injection

Identifiers

PMID41595968
PMCPMC12837816

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.