ArticleBiosensors2023
Wearable Microfluidic Sweat Chip for Detection of Sweat Glucose and pH in Long-Distance Running Exercise.
Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Non-enzymatic near-infrared up-conversion fluorescent microfluidic sensor integrated with smartphone platform for rapid sweat glucose detection.Mikrochimica acta · 2026Article
- Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Graphene in photonic sensing: From fundamentals to cutting-edge applications.Fundamental research · 2026Review
- Low-Temperature Sintering Inks for Printed Bioelectronics: Materials, Mechanisms, and Emerging Ideas.Biosensors · 2026Review
- Wearable technology for athletes: material innovations, performance monitoring, and emerging paradigms.Mikrochimica acta · 2026Review
- Sucrose Monolaurate as a Stabilizer for Lactate Oxidase Electrodes at Low pH: A Structural Analysis Based on Grazing Incidence Small-Angle X-ray Scattering.Langmuir : the ACS journal of surfaces and colloids · 2025Article
- MXene-Based Flexible Paper Chip for Glucose Detection in Sweat in Low-Temperature Environments.Sensors (Basel, Switzerland) · 2025Article
- l-Lactate Oxidase-Based Biosensor Enables Quasi-Calibration-Free Detection of l-Lactate in Sweat of Acidic to Neutral pH.ACS sensors · 2025Article
- A Comparative Study of Optical Sensing Methods for Colourimetric Bio/Chemical Detection: Cost, Scale, and Performance.Sensors (Basel, Switzerland) · 2025Article
- Nanosensors and Microsensors for Body Fluid Monitoring: Various Analyte Detection and Construction Solutions.International journal of molecular sciences · 2025Review
- Wearables in Chronomedicine and Interpretation of Circadian Health.Diagnostics (Basel, Switzerland) · 2025Review
- Advanced Wearable Devices for Monitoring Sweat Biochemical Markers in Athletic Performance: A Comprehensive Review.Biosensors · 2024Review
- Microfluidic-Based Non-Invasive Wearable Biosensors for Real-Time Monitoring of Sweat Biomarkers.Biosensors · 2024Review
- Advances in Non-Electrochemical Sensing of Human Sweat Biomarkers: From Sweat Sampling to Signal Reading.Biosensors · 2023Review
- A Systematic Review on the Advanced Techniques of Wearable Point-of-Care Devices and Their Futuristic Applications.Diagnostics (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Traditional exercise training monitoring is based on invasive blood testing methods. As sweat can reveal abundant blood-related physiological information about health, wearable sweat sensors have received significant research attention and become increasingly popular in the field of exercise training monitoring. However, most of these sensors are used to measure physical indicators such as heart rate, blood pressure, respiration, etc., demanding a versatile sensor that can detect relevant biochemical indicators in body fluids. In this work, we proposed a wearable microfluidic sweat chip combined with smartphone image processing to realize non-invasive in situ analysis of epidermal sweat for sports practitioners. The polydimethylsiloxane (PDMS) based chip was modified with nonionic surfactants to ensure good hydrophilicity for the automatic collection of sweat. Besides, a simple, reliable, and low-cost paper-based sensor was prepared for high-performance sensing of glucose concentration and pH in sweat. Under optimized conditions, this proposed chip can detect glucose with low concentrations from 0.05 mM to 0.40 mM, with a pH range of 4.0 to 6.5 for human sweat. The ability of this microfluidic chip for human sweat analysis was demonstrated by dynamically tracking the changes in glucose concentration and pH in long-distance running subjects.
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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.