Evidence map›Paper›PMID 41240195›Full record

ArticleMikrochimica acta2025

A sample-to-answer multimodal microfluidic integrated electrochemical biosensing system for rapid diagnosis of acute stroke from whole blood.

Zehui Shi, Zheng Gong, Hongli Zhao, Lin Zhou, Hongju Mao, Jianlong Zhao, Minbo Lan

Abstract read
PubMed Publisher
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
–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.

Zehui ShiShanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Zheng GongShanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Hongli ZhaoShanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China. honglizhao@ecust.edu.cn.
Lin ZhouState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China. zhoulinzlw@mail.sim.ac.cn.
Hongju MaoState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
Jianlong ZhaoState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
Minbo LanShanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China. minbolan@ecust.edu.cn.

Funding

Fundamental Research Funds for the Central Universities JKJ01251717Science and Technology Commission of Shanghai Municipality 21JM0010400Science and Technology Commission of Shanghai Municipality 25xtcx00400
6 · The paper itself

Abstract

A microfluidic-integrated electrochemical biosensing platform was developed, which uses two modified electrodes to separately detect two acute stroke (AS biomarkers) - homocysteine (Hcy) and adenosine (Ado) - from whole blood. The system integrates an on-chip plasma separator with multimodal electrochemical detection through rationally designed microchannels and nanostructure-based sensing interfaces. It enables the sensitive and selective quantification of Hcy and Ado in whole blood within 10 min and 40 min, respectively, with limits of detection (LOD) of 1.04 µM and 1.65 × 10⁻³ µM, respectively. The entire assay process for Ado requires a 30-minute incubation of the isolated plasma prior to differential pulse voltammetry (DPV) measurements. By performing automated sample-to-answer analysis, this platform provides a reliable method for the detection of AS-related biomarkers. Furthermore, the integration of on-chip blood processing with electrochemical detection presents a promising approach for future point-of-care and emergency diagnostic applications.

Indexed as

AdenosineBiosensing TechniquesElectrochemical TechniquesHomocysteineMicrofluidic Analytical TechniquesStrokeBiomarkersElectrodesHumansLab-On-A-Chip DevicesLimit of DetectionAdenosineBiomarkersHomocysteineAcute strokeDifferential pulse voltammetryElectrochemical biosensorMicrofluidic chipOn-chip analysis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.