Evidence map›Paper›PMID 34064828›Full record

ArticleSensors (Basel, Switzerland)2021

Flow Control in Porous Media: From Numerical Analysis to Quantitative μPAD for Ionic Strength Measurements.

Pouya Mehrdel, Hamid Khosravi, Shadi Karimi, Joan Antoni López Martínez, Jasmina Casals-Terré

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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
–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

2 citing papers in PubMed.

  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.

Pouya MehrdelMechanical Engineering Department-Microtech Lab., Universitat Politecnica de Catalunya, C/Colom 7-11, CP 08222 Terrassa, Spain.ORCID 0000-0003-3496-2833
Hamid KhosraviMechanical Engineering Department-Microtech Lab., Universitat Politecnica de Catalunya, C/Colom 7-11, CP 08222 Terrassa, Spain.
Shadi KarimiMechanical Engineering Department-Microtech Lab., Universitat Politecnica de Catalunya, C/Colom 7-11, CP 08222 Terrassa, Spain.ORCID 0000-0002-6701-4285
Joan Antoni López MartínezDepartment of Mining, Industrial and ICT Engineering (EMIT), Universitat Politecnica de Catalunya, AV. Bases de Manresa 61-73, CP 08240 Manresa, Spain.ORCID 0000-0002-0082-9770
Jasmina Casals-TerréMechanical Engineering Department-Microtech Lab., Universitat Politecnica de Catalunya, C/Colom 7-11, CP 08222 Terrassa, Spain.ORCID 0000-0002-1368-3950

Funding

European regional development Funds (FEDER) CTQ2017-84966-C2-1-RLa Red Nacional Espanyola de Microfluidica RED2018-102829-TSpanish Ministry of Economy and Competitivity CTQ2017-84966-C2-1-R
6 · The paper itself

Abstract

Microfluidic paper-based analytical devices (µPADs) are a promising technology to enable accurate and quantitative in situ assays. Paper's inherent hydrophilicity drives the fluids without the need for external pressure sources. However, controlling the flow in the porous medium has remained a challenge. This study addresses this problem from the nature of the paper substrate and its design. A computational fluid dynamic model has been developed, which couples the characteristics of the porous media (fiber length, fiber diameter and porosity) to the fluidic performance of the diffusion-based µPAD sensor. The numerical results showed that for a given porous membrane, the diffusion, and therefore the sensor performance is affected not only by the substrate nature but also by the inlets' orientation. Given a porous substrate, the optimum performance is achieved by the lowest inlets' angle. A diffusion-based self-referencing colorimetric sensor was built and validated according to the design. The device is able to quantify the hydronium concentration in wines by comparison to 0.1-1.0 M tartaric acid solutions with a 41.3 mM limit of detection. This research showed that by proper adjustments even the simplest µPADs can be used in quantitative assays for agri-food applications.

Indexed as

colorimetric detectioncomputational fluid dynamicsdiffusion assayionic strengthmicrofluidic paper-based analytical devicesnumerical simulationquantitative assay

Identifiers

PMID34064828
PMCPMC8150341

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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.