Sweat-powered fingertip patch accurately monitors Parkinson's medication

· Medical Xpress

by University of California - San Diego

edited by Sadie Harley, reviewed by Robert Egan

Sadie Harley

Scientific Editor

Meet our editorial team
Behind our editorial process

Robert Egan

Senior Editor

Meet our editorial team
Behind our editorial process Editors' notes

This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

peer-reviewed publication

trusted source

proofread

The GIST Add as preferred source


This wearable device monitors levodopa, the gold standard drug for Parkinson's disease, in a patient's fingertip sweat. That same sweat also helps power the device. Credit: David Baillot/UC San Diego Jacobs School of Engineering

Engineers and neuroscientists at the University of California San Diego have developed a soft, wearable fingertip patch that continuously tracks a patient's Parkinson's disease medication levels through sweat. The device operates using chemicals in the patient's sweat—no batteries required. Its measurements were comparable to those obtained by standard laboratory blood tests.

The technology, published in Proceedings of the National Academy of Sciences, could enable doctors to precisely tailor daily medication schedules for patients at home.

The patch monitors levodopa, the gold-standard drug for managing the loss of motor control caused by Parkinson's disease. Prescribing the right dose is challenging: Reducing levodopa leaves patients unable to move, while too much triggers severe, uncontrollable jerking movements.

Initially, the drug's effects can last several hours. But as the disease progresses, the therapeutic window narrows to two hours. Currently, clinicians must rely on subjective patient diaries to adjust treatment. Unfortunately, these methods fail to catch dangerous dosing gaps.

The new wearable device offers a way to continuously track real-time concentrations of levodopa in the body.

The research was led by study co-first author Tamoghna Saha, a postdoctoral researcher in the lab of Joseph Wang, professor in the Aiiso Yufeng Li Family Department of Chemical and Nano Engineering at the UC San Diego Jacobs School of Engineering. The engineering team developed the technology in joint collaboration with the lab of Irene Litvan, professor in the Department of Neurosciences at UC San Diego School of Medicine.

The wearable levodopa monitoring device consists of a flexible printed circuit board (left) connected to a patch (right) that houses a sweat-collecting hydrogel (small white circle), levodopa sensor (silver strips) and a paper fluidic channel (squiggly line). Credit: David Baillot/UC San Diego Jacobs School of Engineering

How the fingertip patch works

The project is part of a longstanding collaboration between the Wang and Litvan teams to develop wearable levodopa monitors that can improve personalized care for people living with Parkinson's disease.

The patch is worn on the fingertip, which is packed with a high density of sweat glands. The patch is equipped with a specially engineered absorbent gel that acts like a sweat sponge. The gel contains a highly concentrated mixture of salts and benign solvents, which draw sweat out of the pores because water naturally flows toward areas with higher salt concentrations.

When levodopa in the patient's sweat comes into contact with enzymes embedded in the patch, it triggers a chemical reaction, which in turn generates a small, measurable voltage. This chemical reaction powers the patch. The amount of voltage generated also serves as an indicator of the patient's levodopa level: Lower voltage signals low levels, while higher voltage signals high levels.

Faster drug clearance in Parkinson's

In clinical tests involving both healthy volunteers and patients with Parkinson's, the patch tracked levodopa levels as accurately as standard laboratory blood tests, which take days to return results. The data revealed that individuals with Parkinson's clear levodopa from their systems significantly faster than healthy individuals. This result explains why a patient's Parkinson's symptoms can deteriorate so suddenly, the researchers noted.

  • Front view of the wearable levodopa monitoring device. Credit: David Baillot/UC San Diego Jacobs School of Engineering
  • Back view of the wearable levodopa monitoring device, where the circuit board is housed. Credit: David Baillot/UC San Diego Jacobs School of Engineering

This technology lays the groundwork for a closed-loop system in which a levodopa monitoring patch could communicate with a pump to automatically deliver precise doses of the drug when the body needs it.

Publication details

University of California et al, A wearable patch for continuous levodopa monitoring in sweat: Towards exertion and power-free pharmacodynamic assessment in Parkinson's disease, Proceedings of the National Academy of Sciences (2026). DOI: 10.1073/pnas.2610453123. doi.org/10.1073/pnas.2610453123

Journal information: Proceedings of the National Academy of Sciences

Key medical concepts

LevodopaParkinson's DiseaseEnzymes

Clinical categories

NeurologyClinical pharmacology Provided by University of California - San Diego Who's behind this story?

Sadie Harley

BSc Life Sciences & Ecology. Microbiology lab background with pharmaceutical news experience in oil, gas, and renewable industries. Full profile →

Robert Egan

Bachelor's in mathematical biology, Master's in creative writing. Well-traveled with unique perspectives on science and language. Full profile →

Citation: Sweat-powered fingertip patch accurately monitors Parkinson's medication (2026, July 27) retrieved 27 July 2026 from https://medicalxpress.com/news/2026-07-powered-fingertip-patch-accurately-parkinson.html This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.