Evidence map›Paper›PMID 40641610›Full record

ArticleACS materials letters2025

Predictive Modeling and Experimental Validation of Magnetophoretic Delivery of Magnetic Nanocultures.

Rohit Chauhan, Huda Usman, Nitin Minocha, Mehdi Molaei, Tagbo H R Niepa, Meenesh R Singh

Abstract read
In one paragraph

Article in ACS materials letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

Rohit ChauhanDepartment of Chemical Engineering, University of Illinois-Chicago, Chicago, Illinois 60607, United States.
Huda UsmanDepartment of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.
Nitin MinochaDepartment of Chemical Engineering, University of Illinois-Chicago, Chicago, Illinois 60607, United States.
Mehdi MolaeiDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Tagbo H R NiepaDepartment of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.ORCID https://orcid.org/0000-0002-3018-5419
Meenesh R SinghDepartment of Chemical Engineering, University of Illinois-Chicago, Chicago, Illinois 60607, United States.ORCID https://orcid.org/0000-0002-3638-8866

Funding

DESIGNING A HIGH-THROUGHPUT PLATFORM TO BIOPROSPECT THE HUMAN MICROBIOME AND MANIPULATE ITS INTERPLAY WITH HOST ENVIRONMENTSDP2GM149553 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIEPA, TAGBO HERMAN ROLAND · 2022 to 2025
$1.9M
NIGMS NIH HHS DP2 GM149553
6 · The paper itself

Abstract

Magnetophoresis offers a powerful strategy for the targeted delivery of functional microcapsules. Here, we present a combined theoretical and experimental framework to predict the magnetophoretic transport of magnetic nanocultures-microcapsules embedded with magnetic nanoparticles and living cells. We derive a novel analytical expression for the terminal velocity of microcapsules under a spatially decaying magnetic field. The model incorporates magnetic and hydrodynamic forces in low Reynolds number regimes and predicts microcapsule velocity variations with nanoparticle size and field strength. Experimental validation using nanocultures containing nanoparticles 5, 10, and 20 nm in size confirms the model's accuracy, with 10-nm particles showing optimal magnetophoretic response. The model also accounts for hindered motion at high microcapsule densities. This work provides a predictive tool for designing magnetically guided systems for microbial delivery, localization, and patterning, with applications in bioreactors, therapy, and engineered living materials.

Identifiers

PMID40641610
PMCPMC12239069

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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.