Ferrohydrodynamic Microfluidics for Bioparticle Separation and Single-Cell Phenotyping: Principles, Applications, and Emerging Directions.

Yuhao Zhang, Yong Teng, Kenan Song, Xianqiao Wang, Xianyan Chen, Yuhua Liu, Yiping Zhao, He Li, Leidong Mao, Yang Liu

Abstract readPreprint

In one paragraph

Article in ArXiv, 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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

10 authors.

Yuhao ZhangSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, USA.

Yong TengDepartment of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia 30322, USA.

Kenan SongSchool of Environmental, Civil, Agricultural, and Mechanical Engineering, The University of Georgia, Athens, Georgia 30602, USA.

Xianqiao WangSchool of Environmental, Civil, Agricultural, and Mechanical Engineering, The University of Georgia, Athens, Georgia 30602, USA.

Xianyan ChenCollege of Public Health, The University of Georgia, Athens, Georgia 30602, USA.

Yuhua LiuCenter for Disease Control and Prevention of Jinan Railway Bureau, Jinan, Shandong 2500002, China.

Yiping ZhaoDepartment of Physics and Astronomy, The University of Georgia, Athens, Georgia 30602, USA.

He LiSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, USA.

Leidong MaoSchool of Electrical and Computer Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, USA.

Yang LiuSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ferrohydrodynamic microfluidics relies on magnetic field gradients to manipulate diamagnetic particles in ferrofluids-filled microenvironments. It has emerged as a promising tool for label-free manipulation of bioparticles, including their separation and phenotyping. This perspective reviews recent progress in the development and applications of ferrofluids-based microfluidic platforms for multiscale bioparticle separation, ranging from micron-scale cells to submicron extracellular vesicles. We highlight the fundamental physical principles for ferrohydrodynamic manipulation, including the dominant magnetic buoyancy force resulting from the interaction of ferrofluids and particles. We then describe how these principles enable high-resolution size-based bioparticle separation, subcellular bioparticle enrichment, and phenotypic screening based on physical traits. We also discuss key challenges in ferrohydrodynamic microfluidics from the aspects of ferrofluids' biocompatibility, system throughput, and nanoparticle depletion. Additionally, we outline future research directions based on the integration of machine learning, 3D printing, and multiplexed detection. Together, these insights outline a roadmap for advancing ferrofluids-based technologies in precision biomedicine, diagnostics, and cellular engineering.

Identifiers

PMID41281233

PMCPMC12636763

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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.