A Wearable Molecularly Imprinted Electrochemical Sensor for Cortisol Stable Monitoring in Sweat

Biosensors, Journal Year: 2025, Volume and Issue: 15(3), P. 194 - 194

Published: March 18, 2025

Cortisol, a steroid hormone, is closely associated with human mental stress. The rapid, real-time, and continuous detection of cortisol using wearable devices offers promising approach for individual health. These must exhibit high sensitivity long-term stability to ensure reliable performance. This study developed electrochemical sensor based on molecularly imprinted polymer (MIP) technology real-time dynamic monitoring in sweat. A flexible gold (Au) electrode interfacial hydrophilic treatment was employed construct highly stable electrode. integration silk fibroin/polyvinylidene fluoride (SF/PVDF) composite membrane facilitates directional sweat transport, while liquid metal bonding enhances flexibility mechanical anti-delamination capability. exhibits an ultrawide range (0.1 pM 5 μM), selectivity (over 100-fold against interferents such as glucose lactic acid), (less than 3.76% signal attenuation over 120 cycles). Additionally, gradient modulus design implemented mitigate deformation interference under conditions. As device sweat, the sensor’s response aligns diurnal rhythm, offering sensitive interference-resistant solution health advancing personalized assessment stress-related disorders.

Language: Английский

Biosensors for Micro- and Nanoplastics Detection: A Review

Chemosensors, Journal Year: 2025, Volume and Issue: 13(4), P. 143 - 143

Published: April 14, 2025

Microplastics (MPs) and nanoplastics (NPs), which are widespread in many habitats as the byproducts of various industrial processes, pose considerable environmental health hazards. However, current, conventional methods for detecting characterizing them considerably lacking throughput, sensitivity, reliability, field deployability. In current report, we review state art biosensor-based MP/NP detection, particular, describing advances optical electrochemical approaches, along with development novel biorecognition elements application bioinformatics tools.

Language: Английский