ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Sweat Wearable Sensor Based on Confined Pt Nanoparticles in 2D Conductive Metal-Organic Frameworks for Continuous Glucose Monitoring.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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
6 citing papers in PubMed.
- Applications of Wearable Sweat Biosensors in Sports Activities with Real-World Cases.Bioengineering (Basel, Switzerland) · 2026Review
- Flexible biodegradable wireless battery-free integrated theranostic adhesive patch.Bioactive materials · 2026Article
- A High-Sensitivity Sweat Glucose Biosensor Enabled by an In Situ Grown NiFe PBA on Porous Pt/Ni/Au-SPE.Sensors (Basel, Switzerland) · 2026Article
- Augmenting ultrasound for continuous glucose monitoring via a wearable acoustically readable microneedle patch.Science advances · 2026Article
- An All-Soft Wearable Electrochemiluminescence Chip for Sweat Metabolite Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Sweat Wearable Sensor Based on Confined Pt Nanoparticles in 2D Conductive Metal-Organic Frameworks for Continuous Glucose Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The noninvasive glucose sensors with comprehensive functional capabilities can enable wearable glucose monitoring in sweat with high sensitivity and minimal risk. However, the limited stability of natural enzymes, along with interference from electro-oxidizable species, continues to pose significant challenges for their long-term application. Herein, an integrated wearable system is presented for nonenzymatic glucose monitoring in sweat at the point of care. This system integrates a flexible microfluidic glucose sensor patch for sweat sampling and measurement, using Pt nanoparticles (Pt-NPs) confined within phthalocyanine-based conductive metal-organic frameworks (Pc-MOFs) as electrode materials, and a flexible printed circuit board for signal/analysis and wireless communication. The microfluidic sensor patch based on Pc-MOFs confined Pt-NPs exhibits significantly improved nonenzymatic glucose sensing performances. This is attributed to the ultrasmall size of Pt-NPs and the confinement effect within the Pc-MOF channels, which regulates the glucose adsorption intensity and increases the electrocatalytic activity to glucose oxidation. During the continuous monitoring process, the glucose concentration is calibrated in sweat by accounting for fluctuations in pH and temperature, and evaluated the performance of the wearable device in monitoring sweat glucose levels in human subjects over a 12-h period, achieving data as accurate as that obtained using high-performance liquid chromatography.
Indexed as
Identifiers
What OpenQuestion holds
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.