Evidence map›Paper›PMID 40404686›Full record

ArticleMicrosystems & nanoengineering2025

Centrifugation-assisted lateral flow assay platform: enhancing bioassay sensitivity with active flow control.

Hang Yuan, Ruiqi Yong, Wenwen Yuan, Quan Zhang, Eng Gee Lim, Yongjie Wang, Fuzhou Niu, Pengfei Song

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
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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

8 authors.

Hang Yuan *School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China.
Ruiqi Yong *School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China.
Wenwen Yuan *School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China.
Quan ZhangSchool of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China.
Eng Gee LimSchool of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China.
Yongjie WangSchool of Science, Harbin Institute of Technology, Shenzhen, 518055, China.
Fuzhou NiuSchool of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China. fzniu@usts.edu.cn.
Pengfei SongSchool of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China. pengfei.song@xjtlu.edu.cn.ORCID http://orcid.org/0000-0001-6337-7292

Funding

Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) 24KJB460030
6 · The paper itself

Abstract

Lateral flow assays (LFAs) are widely used in point-of-care testing (POCT) due to their simplicity and rapid operation. However, their reliance on passive capillary flow limits sensitivity, making it challenging to detect low-abundance biomarkers accurately. Approaches such as computer signal processing, chemical modification, and physical regulation have been explored to improve LFA sensitivity, but they remain limited by passive capillary-driven flow and uncontrollable flow rate. An alternative approach is to actively regulate fluid dynamics to optimize analyte binding and signal generation. The key challenge is to enhance LFA sensitivity while preserving compatibility with existing lateral flow strips (LFSs). Here, this study introduces a centrifugation-assisted LFA (CLFA) platform with smartphone-based result processing. This platform applies centrifugal force opposite to capillary flow, actively regulating fluid movement to optimize incubation time at the reaction zone and enhance detection performance. This approach increases signal intensity while maintaining a rapid detection process (5 min) and ensuring integration with traditional LFSs. As a proof-of-concept, the CLFA platform successfully detected human chorionic gonadotropin (hCG) and hemoglobin (Hb) in artificial urine without requiring custom-designed centrifugal discs or modified chromatography membranes. Its adaptability to diverse biomarkers and smartphone-based quantification make it a promising POCT tool, particularly in resource-limited settings.

Identifiers

PMID40404686
PMCPMC12098874

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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.