Evidence map›Paper›PMID 42455342›Full record

ArticleMikrochimica acta2026

Non-enzymatic near-infrared up-conversion fluorescent microfluidic sensor integrated with smartphone platform for rapid sweat glucose detection.

Tianyi Li, Xiaohui Wang, Zhe Li, Rong Zhang, Hongshang Peng

Abstract read
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In one paragraph

Article in Mikrochimica acta, 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

5 authors.

Tianyi LiBeijing Key laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
Xiaohui WangBeijing Key laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China. wangxiaohui@bupt.edu.cn.ORCID https://orcid.org/0000-0003-2254-9769
Zhe LiBeijing Key laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
Rong ZhangCollege of Science, Minzu University of China, Beijing, 100081, China.
Hongshang PengCollege of Science, Minzu University of China, Beijing, 100081, China.

Funding

Fundamental Research Funds for the Central Universities 2024ZCJH08National Natural Science Foundation of China 62571054 and 62175266
6 · The paper itself

Abstract

Intermittent and non-invasive glucose monitoring offers remarkable benefits for personalized diabetes management. We present a novel smartphone-integrated near-infrared (NIR) fluorescent microfluidic sensor for efficient sweat collection and fast, reliable detection of glucose. The microfluidic sensor contains four microchambers, each equipped with a bilayer membrane: the upper is sensing layer consisting of polyurethane matrix and non-enzymatic glucose probe PY-POFs, while the lower is light-converting layer consisting of PMMA matrix and up-conversion nanoparticles (UCNPs). Upon 808-nm NIR excitation, the light-converting layer excited the sensing layer via upconversion luminescence, and the glucose-sensitive fluorescence peaking at 470 nm is captured with a smartphone. The sensor exhibits a rapid response time of 15 s, excellent selectivity and stability due to the non-enzymatic nature, as well as a low detection limit of 20 µM because of low-background interference. Moreover, the practical applicability of our device is verified by tracking glucose fluctuations in sweat samples from human volunteers under pre- and post-prandial conditions, with results well correlated to those acquired by commercial blood glucose meters. The prototype demonstrated holds significant promise as a reliable, portable, and user-friendly sensing platform, suitable for rapid intermittent point-of-care non-invasive metabolic monitoring.

Indexed as

Biosensing TechniquesFluorescent DyesGlucoseLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesSmartphoneSweatHumansLimit of DetectionSpectrometry, FluorescenceFluorescent DyesGlucoseFluorescent sensingMicrofluidic chipNon-enzymeSweat glucose detectionUp-converting nanoparticles

Identifiers

PMID42455342

What OpenQuestion holds

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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.