ArticleScientific reports2025
Three-dimensional flow analysis of penta and ternary-hybrid nanofluids over an elongating sheet with thermal radiation and gyrotactic microorganisms.
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 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Article
- Computational analysis of radiative heat transfer and free convective flow over a vertical wavy surface with Lorentz forces.Scientific reports · 2026Article
- Nonlinear magneto-radiative bioconvection of Casson penta-hybrid nanofluid with microorganisms under inclined magnetic field and quadratic radiation for drug delivery.Scientific reports · 2026Article
- Thermally stratified flow of unsteady magnetized nanofluids within squeezing channel with Darcy Forchhimer porous medium.Scientific reports · 2025Article
- Entropy and heat transfer in (SWCNTs)/(CScientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work studies the flow properties of a penta hybrid nanofluid and gyrotactic microorganism influence along an elongating surface. This study uniquely investigates the interaction of gyrotactic microorganisms with a penta-hybrid nanofluid (PHNF), marking a significant advancement over previous ternary hybrid nanofluid (THNF) models by introducing enhanced thermal and biological coupling through the inclusion of five distinct nanoparticles. The numerical solution is performed using MATLAB for the ODE equations. Convective boundary conditions are used to examine the rates of heat and mass transport, and the model incorporates external factors like magnetic fields and porous media. The Buongiorno model also takes into account the impact of Brownian motion and thermophoretic forces on the volumetric fraction of the nanoparticles. The results show that an increase in the magnetic parameter (M) and porous media factor (K) leads to a decrease in both the velocity profiles x and y velocity profile. An increase in K, however, increases the temperature, concentration, and microorganism profiles. On the other hand, an increase in the ratio parameter (α) increases the velocity profile in the y-direction but decreases the temperature, concentration, and microorganism profiles. Besides, larger radiation and Brownian motion parameters both lead to increased temperature profile, while the increased Brownian parameter leads to the decrease in the concentration profile. Surprisingly, PHNF is more effective than ternary hybrid nanofluid (THNF) and has superior thermal and mass transport characteristics. The optimisation of nanofluid and microbe applications, such as heat exchangers and biotechnological processes, where effective heat and mass transmission is essential, may benefit from these discoveries.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.