Evidence map›Paper›PMID 38502904›Full record

ArticleAnalytical chemistry2024

Two-phase Porous Media Flow Model Based on the Incompressible Navier-Stokes Equation.

Hui Ma, Tamara L Kinzer-Ursem, Jacqueline C Linnes

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. 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

3 authors.

Hui MaWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0003-2321-3781
Tamara L Kinzer-UrsemWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0001-7343-115X
Jacqueline C LinnesWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0003-4962-0908

Funding

Pont-of-use Acute HIV Infection Diagnostic for Substance Using PopulationsDP2DA051910 · NIDA · PURDUE UNIVERSITY · PI LINNES, JACQUELINE · 2020 to 2023
$2.6M
Point-of-care screening test for early cervical cancer detectionR01CA246315 · NCI · PURDUE UNIVERSITY · PI LINNES, JACQUELINE, MOHAMMED, SULMA IBRAHIM · 2020 to 2024
$2.0M
Smartphone-based diagnostic for HIV self-testingR33AI140474 · NIAID · PURDUE UNIVERSITY · PI LINNES, JACQUELINE · 2021 to 2022
$1.4M
Smartphone-based diagnostic for HIV self-testingR61AI140474 · NIAID · PURDUE UNIVERSITY · PI LINNES, JACQUELINE · 2018 to 2020
$1.1M
NCI NIH HHS R01 CA246315NIAID NIH HHS R33 AI140474NIAID NIH HHS R61 AI140474NIDA NIH HHS DP2 DA051910
6 · The paper itself

Abstract

Two-phase porous media flow is important in many applications from drug delivery to groundwater diffusion and oil recovery and is of particular interest to biomedical diagnostic test developers using cellulose and nitrocellulose membranes with limited fluid sample volumes. This work presents a new two-phase porous media flow model based on the incompressible Navier-Stokes equation. The model aims to address the limitations of existing methods by incorporating a partial saturation distribution in porous media to account for limited fluid volumes. The basic parameters of the model are the pore size distribution and the contact angle. To validate the model, we solved five analytical solutions and compared them to corresponding experimental data. The experimentally measured penetration length data agreed with the model predictions, demonstrating model accuracy. Our findings suggest that this new two-phase porous media flow model can provide a valuable tool for researchers developing fluidic assays in paper and other porous media.

Identifiers

PMID38502904
PMCPMC12100844

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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.