Evidence map›Paper›PMID 42331892›Full record

ArticleScientific reports2026

Analyzing the influence of variable viscosity and thermal radiation on heat and mass transfer of MHD bioconvective nanofluid flow through surface regression model.

Shantha Sheela J, David Maxim Gururaj A

Abstract read
In one paragraph

Article in Scientific reports, 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

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

2 authors.

Shantha Sheela JDepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
David Maxim Gururaj ADepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India. davidmaxim.gururaj@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study explores the impacts of significant parameters on the flow characteristics through sensitivity analysis of magnetohydrodynamic (MHD) bioconvection nanofluid flow considering variable viscosity. Using the Runge-Kutta fourth-order technique, the set of governing equations is transformed into nonlinear coupled ordinary differential equations. The analysis focuses primarily on how various parameters, including thermophoresis, Brownian motion, variable viscosity, magnetic field, thermal radiation parameter, bioconvection Lewis number, bioconvection Peclet number, and others, influence the density profiles of microbes, temperature, and concentration. These profiles are detailed and graphically depicted. Finally, the parameters that have the most significant impact on the desired output are examined. The concluded results are applied in various fields, such as microfluidics and biological systems (like nutrient transport in aquatic environments), bioengineering, bio-nano coolant systems, and biofuel cells.

Indexed as

BioconvectionNanofluidSensitivity analysisSurface regression modelVariable viscosity

Identifiers

PMID42331892
PMCPMC13572559

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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.