A multimodal wearable microfluidic platform for in situ sweat cortisol monitoring with a NiHCF-enabled molecularly imprinted electrochemical sensor
Chen et al.
The finding, in our words
The wearable microfluidic sensor measured sweat cortisol across a range of 0.1 fM to 100 μM with a 0.043 fM detection limit. In human volunteers it tracked diurnal rhythms and stress-induced elevations from cold-pressor and exercise tests, showing agreement with ELISA, and combined with electromyography it profiled exercise fatigue by linking muscle activity to endocrine response.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
Wearable biochemical monitoring requires a complete measurement chain that integrates quality-controlled biofluid sampling, sensor fusion and metadata capture to convert raw sensor outputs into clinically valid digital biomarkers.
The authors developed a flexible aptamer-based field-effect transistor biosensor that detects nanomolar cortisol in sweat. Validated in humans during a Trier Social Stress Test, it showed correlation with salivary cortisol and enabled continuous stress monitoring via a smartwatch platform.
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.
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.
The authors developed a skin-conformal wearable electrochemical sensor that passively collects sweat and simultaneously measures creatine and lactate in real time, using covalent organic frameworks to stabilise the enzymes. In preliminary human studies with healthy individuals and chronic liver disease patients, the platform tracked dynamic changes in these sweat biomarkers, suggesting a route to non-invasive continuous monitoring of liver metabolic function.
Zhao et al., Advanced materials (paywalled) · source ↗