Microfluidic Wearable Electrochemical Sensor Based on MOF-Derived Hexagonal Rod-Shaped Porous Carbon for Sweat Metabolite and Electrolyte Analysis
Mi et al.
The finding, in our words
This wearable microfluidic sensor enables simultaneous measurement of uric acid, pH and potassium in sweat collected during aerobic exercise. The device maintained performance under mechanical deformation and demonstrated a relationship between sweat and urine uric acid concentrations, supporting its potential for non-invasive, patient-centric monitoring in decentralised healthcare.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
This review establishes that microsampling across blood, saliva, urine and stool matrices offers validated workflows and regulatory recognition for human biomonitoring comparable to conventional methods. It finds that these decentralised approaches enhance participant acceptability and enable screening in remote or low-resource settings.
Warehouse workers frequently presented with concentrated urine pre- and post-shift, and a greater within-shift worsening of urine colour was associated with higher wearable-derived ergonomic risk movement counts. The study demonstrates that self-collected urine samples combined with wearable sensor data can remotely identify hydration-related injury risk in occupational settings.
Agostinelli et al., Frontiers in public health (paywalled) · source ↗
This study demonstrates that a memristor sensor can identify distinct electrical signatures in saliva and urine corresponding to different ovulation phases, suggesting a potential route for noninvasive home fertility monitoring.
This narrative review finds that saliva is best suited to repeated neuroendocrine and metabolic measurements during exercise, sweat is most mature for electrolyte and sweat-rate monitoring with wearable compatibility, and exhaled breath offers access to volatile metabolism but remains instrumentally demanding. Each matrix requires matching to a defined clinical or exercise question with matrix-specific validation before translational use.
A smart diaper system that analyses colour changes in urinalysis strips detected urinary tract infection biomarkers correctly in 14 of 15 simulated samples, suggesting potential for automated screening in high-risk groups such as infants and the elderly. The system transmits data via the Internet of Medical Things for remote monitoring, though the authors acknowledge that clinical validation in real patients is still needed.
Monisha et al., Scientific reports (paywalled) · source ↗