Methylxanthine Drug Monitoring with Wearable Sweat Sensors
Open accessAbstract
Drug monitoring plays crucial roles in doping control and precision medicine. It helps physicians tailor drug dosage for optimal benefits, track patients' compliance to prescriptions, and understand the complex pharmacokinetics of drugs. Conventional drug tests rely on invasive blood draws. While urine and sweat are attractive alternative biofluids, the state‐of‐the‐art methods require separate sample collection and processing steps and fail to provide real‐time information. Here, a wearable platform equipped with an electrochemical differential pulse voltammetry sensing module for drug monitoring is presented. A methylxanthine drug, caffeine, is selected to demonstrate the platform's functionalities. Sweat caffeine levels are monitored under various conditions, such as drug doses and measurement time after drug intake. Elevated sweat caffeine levels upon increasing dosage and confirmable caffeine physiological trends are observed. This work leverages a wearable sweat sensing platform toward noninvasive and continuous point‐of‐care drug monitoring and management.
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A wearable sweat-based sensor has been developed for detecting caffeine using pilocarpine-based iontophoretic sweat stimulation or exercise-induced sweat.
“For example, a wearable sweat-based sensor has been developed for detecting caffeine (a methylxanthine drug) using pilocarpine-based iontophoretic sweat stimulation or exercise-induced sweat92.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [92]
The caffeine sensing device was not integrated with the sweat generation device, but was coupled to a commercially available Macroduct sweat collector using pilocarpine delivery.
“Even so, as described, the sensing device was not integrated with the sweat generation device, but rather coupled to a commercially available Macroduct sweat collector using pilocarpine delivery.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [92]
The caffeine sensing platform relied on direct anodic detection of caffeine at a carbon nanotube-based working electrode with a voltammetric scan.
“Rather than using biological recognition, this sensing platform relied on direct anodic detection of caffeine at a carbon nanotube-based working electrode with a voltammetric scan.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [92]
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- Authors
- Tai, L., Gao, W., Chao, M., Bariya, M., Ngo, Q. P., Shahpar, Z., Nyein, H. Y. Y., Park, H., Sun, J., Jung, Y., Wu, E., Fahad, H. M., Lien, D., Ota, H., Cho, G., & Javey, A.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- Sunchon National University (KR)
- Corresponding author
- Javey, Ali
- ORCID
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2018-04-16
- Volume
- 30
- Issue
- 23
- Pages
- e1707442-e1707442
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2800594651
- Cited by
- 310
- References
- 50
- Citations by year
- 2026: 19 · 2025: 32 · 2024: 39 · 2023: 40 · 2022: 38 · 2021: 47 · 2020: 51 · 2019: 39 · 2018: 5
- FWCI
- 13.57
- Type
- journal article
- Language
- en
- Open access
- green
- escholarship.org
- Licence
- Locations
- Advanced Materials (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Funders
- U.S. Department of Energy (DE‐AC02‐05CH11231)
- Japan Society for the Promotion of Science
- Ministry of Food and Drug Safety (16163KKMFDS001)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Chemical Engineering › Bioengineering › Analytical Chemistry and Sensors
- Keywords
- methylxanthines, caffeine, sweat sensors, wearable sensors, non-invasive drug monitoring, point-of-care testing, doping control, pharmacokinetics
- MeSH terms
- Wearable Electronic Devices, Humans, Monitoring, Physiologic, Sweat, Xanthines, Drug Monitoring
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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