Wearable/disposable sweat-based glucose monitoring device with multistage transdermal drug delivery module
Open accessAbstract
A sweat-based glucose monitoring device with transdermal drug delivery is developed for noninvasive diabetes treatment.
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Most wearable sweat sensors are unable to draw low volumes of resting sweat rapidly into the device, limiting real-time assessment.
“They are unable to draw low volumes of resting sweat rapidly into the device, limiting real-time assessment.”
From A wearable patch for continuous analysis of thermoregulatory sweat at rest (2021) · cites this paper as [12]
The Introduction says sweat collection is tedious and collection times vary with environmental conditions. Results (Sweat control optimization) say fast collection of small sweat volumes enables rapid sensing. The paper does not establish that most wearable sensors cannot rapidly draw resting sweat into a device or that this specifically limits real-time assessment. (LLM, conf=0.85)
Experimental — accuracy not yet measuredMost wearable sweat sensors have focused on exercise, thermal, or chemically stimulated sweat produced at rates of 10's or 100's of nL min−1 cm−2 or higher.
“For this reason, most wearable sweat sensors have focused on exercise, thermal, or chemically stimulated sweat produced at rates of 10’s or 100’s of nL min−1 cm−2 or higher10–23.”
From A wearable patch for continuous analysis of thermoregulatory sweat at rest (2021) · cites this paper as [12]
The Introduction describes wearable sweat biosensors, and the Results sections describe this device’s sweat collection and testing on human subjects (pages unavailable). Our copy does not say that this device focuses on exercise-, thermal-, or chemically stimulated sweat, give a sweat-production rate, or establish that most wearable sensors do so. Searches for the stimulation methods and the stated rate found no decisive passage. (LLM, conf=0.72)
Experimental — accuracy not yet measured
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- Authors
- Lee, H., Song, C., Hong, Y. S., Kim, M., Cho, H. R., Kang, T., Shin, K., Choi, S. H., Hyeon, T., & Kim, D.-H.
- Affiliations
- Seoul National University (KR)
- Center for Nanoparticle Research, Institute for Basic Science, Seoul 08826, Republic of Korea.
- Corresponding author
- Lee, Hyunjae
- Song, Changyeong
- Hyeon, Taeghwan
- Kim, Dae-Hyeong
- ORCID
- Venue
- Science Advances
- Published
- 2017-03-03
- Volume
- 3
- Issue
- 3
- Pages
- e1601314-e1601314
- ISSN
- 2375-2548 (ISSN-L)
- PMC
- PMC5342654
- OpenAlex
- W2594844894
- Cited by
- 1,118
- References
- 6
- Citations by year
- 2026: 51 · 2025: 100 · 2024: 117 · 2023: 143 · 2022: 154 · 2021: 138 · 2020: 146 · 2019: 153 · 2018: 84 · 2017: 31
- FWCI
- 47.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- Science Advances (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Funders
- Institute for Basic Science (ID0EEWCI15509, IBS-R006-D1)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Advancements in Transdermal Drug Delivery
- Keywords
- non-invasive glucose monitoring, wearable biosensors, transdermal drug delivery, glucose oxidase, soft bioelectronics, temperature-responsive drug release, multimodal sensing
- MeSH terms
- Wearable Electronic Devices, Administration, Cutaneous, Glucose, Humans, Monitoring, Physiologic, Sweat, Drug Delivery Systems, Point-of-Care Systems
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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