Evidence map›Paper›PMID 31890659›Full record

ArticleJournal of diabetes and metabolic disorders2019

Numerical simulation of a multi-inlet microfluidic device for biosensing purposes in osteoporosis management.

Patricia Khashayar, Amir Okhovat, Hossein Adibi, Jindrich Windels, Ghassem Amoabediny, Bagher Larijani, Jan Vanfleteren

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2019. 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
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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

7 authors.

Patricia Khashayar1Center for Microsystems Technology, Imec and Ghent University, Ghent, Zwijnaarde Belgium.
Amir Okhovat4TeyfPardaz Pishroo, University of Yazd, Tehran, Iran.
Hossein Adibi *5Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Jindrich Windels1Center for Microsystems Technology, Imec and Ghent University, Ghent, Zwijnaarde Belgium.
Ghassem Amoabediny *3Nanobiotechnalogy Department, Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran.
Bagher Larijani5Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Jan Vanfleteren1Center for Microsystems Technology, Imec and Ghent University, Ghent, Zwijnaarde Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn this paper, the effect of the position of the inlet and outlet microchannels on the flow profile and the geometry of the recognition chamber for sample pre-treatment in an electrochemical biosensor to be used in osteoporosis management were investigated.

methodsAll numerical computation presented in this work were performed using COMSOL Multiphysics and Fluent. Simulation was performed for a three-dimensional, incompressible Navier-Stokes flow and so explicit biphasic volume of fluid (VOF) equations were used.

resultsIn the designed microfluidic system, a pressure-driven laminar flow with no-slip boundary condition was responsible for fluid actuation through microchannels in a reproducible approach. Based on the simulation results, the number of outlets was increased and the angel through which the inlets and outlets were attached to the microchamber was changed so that the dead volume would be eliminated and the fluid flow trajectory, the velocity field and pressure were evenly distributed across the chamber. The Re number in the inlets was equal to 4.41, suggesting a laminar flow at this site.

conclusionThe simulation results along with the fact that the design change was tested using laser ablated tape and a color dye at different steps provided the researchers with the opportunity to study the changes in a fast and accurate but cheap method. The absence of backflow helps with the cross-talk concern in the channels and the lack of bubbles and complete coverage of the chamber helps with a better surface modification and thus better sensing performance.

Indexed as

BiosensorMicrochipsMicrofluidicSimulation

Identifiers

PMID31890659
PMCPMC6915250

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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.