ArticleMikrochimica acta2026
A hierarchical dual-lock mechanism empowered epifluidic patch for rapid glucose feedback in exercise-induced sweating.
Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
A wearable epifluidic patch featuring a hierarchical dual-lock mechanism is introduced. Tetrahedral DNA nanostructures co-localize enzymes at defined spacing to promote substrate channeling and accelerate kinetics, while a gelatin hydrogel stabilizes the enzymatic microenvironment during hydration cycles, ensuring uniform reaction conditions for homogeneous signal formation. This design produced a visible glucose-responsive signal within 30 s, with a linear range of 50–400 µM and a detection limit of 9.98 µM. Integrated with passive microfluidics and smartphone imaging, the patch enables sequential sampling in human trials conducted during physical exercise. The hierarchical immobilization method, device design, and system integration outlined demonstrate a platform for intuitive, electronics-free colorimetric sensing in dynamic environments.
Indexed as
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Registered trials
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.