Evidence map›Paper›PMID 40352358›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Periodic blinking manipulation of magnetic Janus particles with a tunable electromagnetic field for rapid sensing of extracellular vesicles.

Han-Sheng Chuang, Thi Thanh Huong Pham, Yu-Hsuan Chou, Chi-Ying F Huang, Ting-Yuan Tu, Tai-Hua Yang, Jhih-Cheng Wang

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 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

7 authors.

Han-Sheng ChuangDepartment of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan.
Thi Thanh Huong PhamDepartment of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan.
Yu-Hsuan ChouDepartment of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan.
Chi-Ying F HuangInstitute of Biopharmaceutical Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Ting-Yuan TuDepartment of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan.
Tai-Hua YangDepartment of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan.
Jhih-Cheng WangDepartment of Urology, Chimei Medical Center, Tainan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detecting small biological molecules is challenging due to their tiny size, vulnerability, and low concentrations in samples. Bead-based biosensors are frequently used as probes but require tedious processing or expensive instruments. By combining magnetic Janus particles (MJPs) and an electromagnetic device, we successfully built an active diagnostic tool for the rapid sensing of small extracellular vesicles (sEVs). We observed that the system can be altered according to particle size, distance between MJPs and the electromagnet, fluid viscosity, and magnetic field strength. By modulating the driving frequency from low (3 Hz) to high (22 Hz), the MJPs gradually lose their synchrony with the external magnetic field after exceeding a certain threshold termed cutoff frequency. The novel sEVs sensing MJP system was characterized through both theoretical and experimental methods, showing reliable performance in identifying the cancer cell OECM-1-derived sEVs using the CD63 surface marker. A decent sEV concentration of 2.9 × 10

Indexed as

biosensorscutoff frequencyextracellular vesiclesimmunoassaysmagnetic fieldmagnetic Janus particlestunable electromagnet

Identifiers

PMID40352358
PMCPMC12062064

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Registered trials

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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.