Evidence map›Paper›PMID 39824991›Full record

ArticleScientific reports2025

Microfluidic mixing probe: generating multiple concentration-varying flow dipoles.

Dima Samer Ali, Ayoub Glia, Pavithra Sukumar, Muhammedin Deliorman, Mohammad A Qasaimeh

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Review
  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.

Dima Samer AliDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Ayoub GliaDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Pavithra SukumarDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Muhammedin DeliormanDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Mohammad A QasaimehDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates. mohammad.qasaimeh@nyu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study advances microfluidic probe (MFP) technology through the development of a 3D-printed Microfluidic Mixing Probe (MMP), which integrates a built-in pre-mixer network of channels and features a lined array of paired injection and aspiration apertures. By combining the concepts of hydrodynamic flow confinements (HFCs) and "Christmas-tree" concentration gradient generation, the MMP can produce multiple concentration-varying flow dipoles, ranging from 0 to 100%, within an open microfluidic environment. This innovation overcomes previous limitations of MFPs, which only produced homogeneous bioreagents, by utilizing the pre-mixer to create distinct concentration of injected biochemicals. Experimental results with fluorescent dyes and the chemotherapeutic agent Cisplatin on MCF-7 cells confirmed the MMP's ability to generate precise, discrete concentration gradients with the formed flow dipoles, consistent with numerical models. The MMP's ability to localize drug exposure across cell cultures without cross-contamination opens new avenues for drug testing, personalized medicine, and molecular biology. It enables precise control over gradient delivery, dosage, and timing, which are key factors in enhancing drug evaluation processes.

Indexed as

Lab-On-A-Chip DevicesMicrofluidic Analytical TechniquesMicrofluidicsAntineoplastic AgentsCisplatinFluorescent DyesHumansHydrodynamicsMCF-7 CellsPrinting, Three-DimensionalAntineoplastic AgentsCisplatinFluorescent Dyes

Identifiers

PMID39824991
PMCPMC11742695

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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.