Evidence map›Paper›PMID 42195477›Full record

ArticleMicromachines2026

Acoustic Streaming-Based 3D Cell Focusing and Plasma Separation.

Jingjing Zheng, Qian Wu, Zhenheng Lin, Xuejia Hu, Liqing Qiao, Genliang Li, Jinkun Luo

Abstract read
In one paragraph

Article in Micromachines, 2026. 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.

Jingjing ZhengCollege of Artificial Intelligence, Putian Electronic Information Industry Technology Research Institute, Putian University, Putian 351100, China.
Qian WuDepartment of Electronic Engineering, School of Electronic Science and Engineering, Xiamen University, Xiamen 361102, China.
Zhenheng LinCollege of Artificial Intelligence, Putian Electronic Information Industry Technology Research Institute, Putian University, Putian 351100, China.
Xuejia HuDepartment of Electronic Engineering, School of Electronic Science and Engineering, Xiamen University, Xiamen 361102, China.
Liqing QiaoCollege of Intelligent Manufacturing, Putian University, Putian 351100, China.
Genliang LiCollege of Computer and Data Science, Putian University, Putian 351100, China.
Jinkun LuoCollege of Computer and Data Science, Putian University, Putian 351100, China.

Funding

Putian Science and Technology Plan Project 2023GJGZ003the Natural Science Foundation of Fujian Province No.2024J01889the Natural Science Foundation of Fujian Province No.2025J 011040the Natural Science Foundation of Fujian Province No.2025J 011042the Startup Fund for Advanced Talents of Putian University 2024067
6 · The paper itself

Abstract

Separating plasma from small-volume blood samples is important for rapid blood analysis in point-of-care testing. Microfluidic approaches provide flexible platforms for plasma extraction, but many methods either require complex pretreatment or rely on sheath-assisted or multi-step operations. In this study, we present an acoustofluidic platform that enables sheath-free three-dimensional (3D) focusing of blood cells and downstream plasma extraction in an integrated microchip. The device employs symmetric cavity-trapped bubbles to generate acoustic streaming under acoustic excitation, thereby reconstructing the local flow field and driving suspended cells toward a stable central region of the channel. Based on this mechanism, blood cells are concentrated toward the middle outlet, while plasma is collected from the two side outlets. The device remains operable over a range of inflow conditions through acoustic-voltage adjustment. Using diluted simulated blood samples, the platform achieved a plasma recovery of approximately 71% and a plasma purity of approximately 99%. In addition, cell-viability tests indicated good biocompatibility under the tested operating conditions. Owing to its simple structure, integrated design, and sheath-free operation, this platform shows potential for future miniaturized sample-preparation applications. However, further validation using real whole blood and clinically relevant plasma-quality metrics will be required in future studies.

Indexed as

acoustofluidicscell focusingintegrated microfluidicplasma separation

Identifiers

PMID42195477
PMCPMC13208755

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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.