UC Case No. 2020-393
SUMMARY:
UCLA researchers in the Department of Electrical and Computer Engineering have developed a voltammetric wearable device capable of monitoring electroactive drug circulation and abundance in biofluids. This non-invasive monitoring system can be used for electroactive drug therapy management, drug compliance/abuse monitoring, drug-drug interaction studies, and personalized dosing.
BACKGROUND:
Exogenous molecules, such as drugs, remain underexplored despite studies showing circulating drugs to be partitioning in sweat more than in blood. Wearable drug monitoring devices targeting epidermally-retrievable biofluids, such as sweat, can improve drug compliance/abuse monitoring and personalize therapeutic drug dosing. Voltammetry-based approaches eliminate the reliance of the availability of recognition elements because they uniquely leverage the electroactive nature of target drug molecules. For quantification however, a sensitive voltammetric sensing interface (with high signal-to-background ratio and decoupling of the confounding effect of endogenous electroactive species and baseline variation) is needed and wireless voltammetric excitation and signal acquisition/transmission is necessary.
INNOVATION:
UCLA researchers have developed a wearable drug monitoring system for monitoring electroactive drugs in epidermally-retrievable biofluids. The device has been successfully prototyped and used to quantify three model drugs, with nano- to sub/low-micromolar detection of the drugs using anodic-treated BDDE. The interference of five endogenous electroactive species (including uric acid and amino acids) were also investigated, resulting in an undistorted potential window within which the oxidation of target drugs can be captured sensitively and selectively. This methodology was used to establish a design space and optimize operational settings to develop a coupled sensing system and analytical framework to render sample-to-answer drug analysis.
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DEVELOPMENT-TO-DATE:
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 successfully tested and detected at nano- to sub/low-micromolar levels using the anodic-treated BDDE in vitro (sweat samples).