Unknown

Dataset Information

Wearable plasmonic paper-based microfluidics for continuous sweat analysis.


ABSTRACT: Wearable sweat sensors have the potential to provide clinically meaningful information associated with the health and disease states of individuals. Current sensors mainly rely on enzymes and antibodies as biorecognition elements to achieve specific quantification of metabolite and stress biomarkers in sweat. However, enzymes and antibodies are prone to degrade over time, compromising the sensor performance. Here, we introduce a wearable plasmonic paper-based microfluidic system for continuous and simultaneous quantitative analysis of sweat loss, sweat rate, and metabolites in sweat. Plasmonic sensors based on label-free surface-enhanced Raman spectroscopy (SERS) can provide chemical "fingerprint" information for analyte identification. We demonstrate the sensitive detection and quantifica

SUBMITTER: Mogera U 

PROVIDER: S-EPMC8942375 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature