UCLA researchers in the Department of Electrical and Computer Engineering have developed a wearable electroenzymatic sensor for non-invasive monitoring of metabolites and nutrients. The sensor has been successfully tested in human subjects to be highly sensitive and selective, making it ideal for monitoring and improving individual well-being.
Wearable electroenzymatic sensors allow for non-invasive monitoring of metabolites and nutrients in complex biofluids (e.g. sweat). These measurements can provide an individual with personalized lifestyle feedback which, when monitored, analysed, and adjusted, can improve individual well-being. Conventional wearable enzymatic sensors rely on hydrogen peroxide oxidation and Prussian Blue as a redox mediator to prevent selection of undesired electroactive species. However, the use of Prussian Blue presents challenges including sensor response susceptibility to dynamic concentrations of ionic species and loss of sensor electrocatalytic activity due to Prussian Blue degradation. Improvements in electroenzymatic technology are needed to overcome the challenges faced by current electroenzymatic sensors.
UCLA researchers have developed a mediator-free sensing interface for wearable biofluid sensing. The sensor can be adapted to a wide panel of metabolites and nutrients while its unique design prevents interference from electroactive species for enhanced detection sensitivity. The sensor has been successfully used to target glucose, lactate, and choline in patients against a panel of diverse physiologically relevant interfering species with minimal drift response (<6.5%) for more than 20 hours.
The wearable device prototype has been tested and optimized for minimal background signal from endogenous electroactive species present in a biofluid matrix. Three model drugs have been tested and detected at nano- to sub/low-micromolar levels using the anodic-treated BDDE in vitro(sweat samples).
electroactive drug, monitoring, pharmacokinetic tracking, wearable device, voltammetric, sweat samples, drug monitoring