Evidence map›Paper›PMID 42230516›Full record

ArticleDiscover nano2026

Dynamical analysis of electroosmotic transport of bionic gyrotactic microorganisms with graphene oxide blood nanofluid through thermal ciliated channel.

Madiha Ajmal, Rashid Mehmood, Noreen Sher Akbar, Siddra Rana, Lemessa Asefa Eressa, Taseer Muhammad

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In one paragraph

Article in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

6 authors.

Madiha AjmalDepartment of Mathematics, Faculty of Natural Sciences, HITEC University, Taxila Cantt, Pakistan. madihahitecuni@gmail.com.
Rashid MehmoodDepartment of Mathematics, Faculty of Natural Sciences, HITEC University, Taxila Cantt, Pakistan.
Noreen Sher AkbarDepartment of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University, 31952, Al Khobar, Saudi Arabia.
Siddra RanaDepartment of Mathematics, Faculty of Basic Sciences, University of Wah, Wah Cantt, Pakistan.
Lemessa Asefa EressaDepartment of Physics College of Natural and Computational Sciences, Ambo University, Ambo, Ethiopia. lemessa.asefa@ambou.edu.et.
Taseer MuhammadDepartment of Mathematics, College of Science, King Khalid University, Abha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroosmotic bio-nanofluid transport is an important area of study in biomedical engineering especially in fields like targeted drug delivery and microfluidic devices. Nevertheless, the interactions of non-Newtonian Carreau fluid dynamics, cilia-based transport, electroosmosis, and gyrotactic microorganisms are not fully explored in the literature. The purpose of the current study is to investigate the electroosmotic flow of a graphene oxide based blood nanofluid with gyrotactic microorganisms within a thermal ciliated channel. The nonlinear equations governing are modeled by the Carreau fluid model and solved numerically by using Lobatto IIIa collocation method in computational software Maple. The findings demonstrate that the rise in Eckert number positively affects the temperature profile and the larger the nanoparticle volume fraction, the more favorable thermal distribution and the lower the microorganism density because of a better impact of Brownian motion. In addition, the higher the Peclet number, the greater the transport of microorganisms but the higher the thermophoresis and buoyancy parameters, the more the aggregation and stability of gyrotactic cells. These results indicate that electroosmotic forcing and ciliary movement can be efficiently used to regulate heat movement and distribution of microorganisms in bio-nanofluid systems. The work presents a detailed design of the optimal method to electroosmotic transport in the most advanced biomedical and microfluidic applications.

Indexed as

Carreau nanofluidCiliary membraneElectroosmosisGraphene oxide-bloodHeat transferMicroorganisms

Identifiers

PMID42230516
PMCPMC13230401

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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.