Evidence map›Paper›PMID 42428941›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Mathematical modeling and analysis of magnetic nanoparticle- induced heating in cerebrospinal fluid flow using a core-shell Fe

C Helan Princey, A David Maxim Gururaj

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

C Helan PrinceyDepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
A David Maxim GururajDepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neurological disorders often require effective delivery of therapeutic agents to specific regions of the central nervous system. Magnetic nanoparticles have emerged as a promising approach for improving targeted drug delivery through cerebrospinal fluid (CSF) under externally applied magnetic fields. However, the combined effects of porous media, magnetic forces, nanoparticle transport, and magnetic heating on CSF flow remain insufficiently understood. Methods: In this study, a mathematical model is developed to investigate the flow and heat transfer characteristics of CSF containing Fe Results: The analysis reveals that increasing permeability, Reynolds number, and magnetic interaction parameter enhances the velocity and volumetric flow rate of the nanofluid. In contrast, increasing nanoparticle volume fraction reduces fluid velocity due to the associated increase in effective viscosity. Temperature is found to increase significantly with magnetic heating, while higher thermal conductivity promotes heat diffusion and reduces thermal accumulation. The wall shear stress follows trends similar to velocity, increasing with permeability, Reynolds number, and magnetic forces. The Nusselt number is strongly influenced by magnetic heating and thermal conductivity, highlighting the competing effects of heat generation and heat diffusion. Discussion and Conclusion: The results demonstrate the significant role of magnetic forces, porous medium properties, and nanoparticle characteristics in controlling CSF transport and thermal behavior. The proposed model provides insight into the transport and distribution of magnetic nanoparticles in CSF and may contribute to the design and optimization of magnetically guided drug delivery systems for neurological applications.

Indexed as

cerebrospinal fluid flowmagnetic heatingmagnetic nanoparticlesperturbation methodporous medium

Identifiers

PMID42428941
PMCPMC13346043

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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.