Evidence map›Paper›PMID 41217571›Full record

ArticleMikrochimica acta2025

Integrated microfluidic platform coupling with hydrogel microparticle carriers for multiplexed MiRNA detection via cascaded enzyme-free amplification and smartphone-based fluorescence readout.

Yimeng Zhao, Yulin Deng, Di Zhou, Xuefei Lv

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In one paragraph

Article in Mikrochimica acta, 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
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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

4 authors.

Yimeng ZhaoSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China.
Yulin DengSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China. deng@bit.edu.cn.
Di ZhouSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China.
Xuefei LvSchool of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China. xuefeilv@163.com.

Funding

The Space Medical Experiment Project of China Manned Space Program HYZHXM04001
6 · The paper itself

Abstract

A sensitive miRNA detection method was developed by combining shape-encoded hydrogel microparticles with a cascaded enzyme-free isothermal amplification strategy, enabling highly specific and low-background analysis. Detection limits of 0.2 pM for miRNA 21 and 7.5 pM for miRNA let-7a were obtained, with excellent specificity and minimal matrix interference. Integration with a microfluidic chip further improved detection throughput and operational efficiency. To enable automated on-chip analysis, a multi-channel microfluidic control chip was designed, incorporating pneumatically actuated microvalves and dual syringe pumps for precise fluid routing. Thus, a compact and portable platform was constructed by integrating this control chip with an online fluorescence detection chip, achieving seamless liquid handling, signal acquisition, and analysis. The platform was further applied to automated detection of miRNA 21 and let-7a expression patterns under inflammatory stimulation of a neuro-peripheral immune interaction model. This demonstrated the practical utility of the proposed integrated microfluidic platform for physiological studies, which also possessed potential for point-of-care diagnostics involving inflammation-associated miRNAs.

Indexed as

HydrogelsLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesMicroRNAsNucleic Acid Amplification TechniquesSmartphoneFluorescenceHumansLimit of DetectionHydrogelsMicroRNAsHydrogel microparticlesIsothermal amplificationMicrofluidic chipMultiplexed MicroRNA detection; Fluorescence detection; Smartphone-assisted imagingPoint-of-care testing (POCT)

Identifiers

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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.