Cited by 1,118Electrochemical sensors and biosensorsAdvanced Sensor and Energy Harvesting MaterialsAdvancements in Transdermal Drug Delivery

Wearable/disposable sweat-based glucose monitoring device with multistage transdermal drug delivery module

Open access
Lee, Hyunjae, Song, Changyeong, Hong, Yong Seok, Kim, Minsung, Cho, Hye Rim, Kang, Taegyu, Shin, Kwangsoo, Choi, Seung Hong +2 more·2017·Science Advances

Abstract

A sweat-based glucose monitoring device with transdermal drug delivery is developed for noninvasive diabetes treatment.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/sciadv.1601314

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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 measured
  • 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 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

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 32

  1. [1]Whiting D. R., Guariguata L., Weil C., Shaw J., IDF diabetes atlas: Global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res. Clin. Pract. 94, 311– 321 (2011). 22079683
  2. [2]The Diabetes Control and Complications Trial Research Group, The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N. Engl. J. Med. 329, 977– 986 (1993). 8366922
  3. [3]Bandodkar A. J., Jia W., Yardimci C., Wang X., Ramirez J., Wang J., Tattoo-based noninvasive glucose monitoring: A proof-of-concept study. Anal. Chem. 87, 394– 398 (2015). 25496376
  4. [6]Veiseh O., Langer R., Diabetes: A smart insulin patch. Nature 524, 39– 40 (2015). 26245577
  5. [7]Yu J., Zhang Y., Ye Y., DiSanto R., Sun W., Ranson D., Ligler F. S., Buse J. B., Gu Z., Microneedle-array patches loaded with hypoxia-sensitive vesicles provide fast glucose-responsive insulin delivery. Proc. Natl. Acad. Sci. U.S.A. 112, 8260– 8265 (2015). 26100900 PMC4500284
  6. [10]Nyein H. Y. Y., Gao W., Shahpar Z., Emaminejad S., Challa S., Chen K., Fahad H. M., Tai L.-C., Ota H., Davis R. W., Javey A., A wearable electrochemical platform for noninvasive simultaneous monitoring of Ca2+ and pH. ACS Nano 10, 7216– 7224 (2016). 27380446
  7. [12]Moyer J., Wilson D., Finkelshtein I., Wong B., Potts R., Correlation between sweat glucose and blood glucose in subjects with diabetes. Diabetes Technol. Ther. 14, 398– 402 (2012). 22376082
  8. [14]Vashist S. K., Non-invasive glucose monitoring technology in diabetes management: A review. Anal. Chim. Acta 750, 16– 27 (2012). 23062426
  9. [16]Kaltenbrunner M., Sekitani T., Reeder J., Yokota T., Kuribara K., Tokuhara T., Drack M., Schwödiauer R., Graz I., Bauer-Gogonea S., Bauer S., Someya T., An ultra-lightweight design for imperceptible plastic electronics. Nature 499, 458– 463 (2013). 23887430
  10. [17]Sekitani T., Zschieschang U., Klauk H., Someya T., Flexible organic transistors and circuits with extreme bending stability. Nat. Mater. 9, 1015– 1022 (2010). 21057499
  11. [18]Kim J., Son D., Lee M., Song C., Song J.-K., Koo J. H., Lee D. J., Shim H. J., Kim J. H., Lee M., Hyeon T., Kim D.-H., A wearable multiplexed silicon nonvolatile memory array using nanocrystal charge confinement. Sci. Adv. 2, e1501101 (2016). 26763827 PMC4705037
  12. [20]Jang K.-I., Chung H. U., Xu S., Lee C. H., Luan H., Jeong J., Cheng H., Kim G.-T., Han S. Y., Lee J. W., Kim J., Cho M., Miao F., Yang Y., Jung H. N., Flavin M., Liu H., Kong G. W., Yu K. J., Rhee S. I., Chung J., Kim B., Kwak J. W., Yun M. H., Kim J. Y., Song Y. M., Paik U., Zhang Y., Huang Y., Rogers J. A., Soft network composite materials with deterministic and bio-inspired designs. Nat. Commun. 6, 6566 (2015). 25782446 PMC4383007
  13. [21]Son D., Lee J., Qiao S., Ghaffari R., Kim J., Lee J. E., Song C., Kim S. J., Lee D. J., Jun S. W., Yang S., Park M., Shin J., Do K., Lee M., Kang K., Hwang C. S., Lu N., Hyeon T., Kim D.-H., Multifunctional wearable devices for diagnosis and therapy of movement disorders. Nat. Nanotechnol. 9, 397– 404 (2014). 24681776
  14. [23]Prausnitz M. R., Langer R., Transdermal drug delivery. Nat. Biotechnol. 26, 1261– 1268 (2008). 18997767 PMC2700785
  15. [24]UK Prospective Diabetes Study (UKPDS) Group, Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34). Lancet 352, 854– 865 (1998). 9742977
  16. [25]Zhang M., Liao C., Mak C. H., You P., Mak C. L., Yan F., Highly sensitive glucose sensors based on enzyme-modified whole-graphene solution-gated transistors. Sci. Rep. 5, 8311 (2015). 25655666 PMC4319171
  17. [26]Zhang Y., Hu Y., Wilson G. S., Moatti-Sirat D., Poitout V., Reach G., Elimination of the acetaminophen interference in an implantable glucose sensor. Anal. Chem. 66, 1183– 1188 (1994). 8160962
  18. [27]Niu Z., Liu L., Zhang L., Shao Q., Zhou W., Chen X., Xie S., A universal strategy to prepare functional porous graphene hybrid architectures. Adv. Mater. 26, 3681– 3687 (2014). 24664933
  19. [28]Wang W., You S., Gong X., Qi D., Chandran B. K., Bi L., Cui F., Chen X., Bioinspired nanosucker array for enhancing bioelectricity generation in microbial fuel cells. Adv. Mater. 28, 270– 275 (2016). 26550771
  20. [29]Pan L., Yu G., Zhai D., Lee H. R., Zhao W., Liu N., Wang H., Tee B. C.-K., Shi Y., Cui Y., Bao Z., Hierarchical nanostructured conducting polymer hydrogel with high electrochemical activity. Proc. Natl. Acad. Sci. U.S.A. 109, 9287– 9292 (2012). 22645374 PMC3386113
  21. [31]Singh A., Corvelli M., Unterman S. A., Wepasnick K. A., McDonnell P., Elisseeff J. H., Enhanced lubrication on tissue and biomaterial surfaces through peptide-mediated binding of hyaluronic acid. Nat. Mater. 13, 988– 995 (2014). 25087069 PMC6317357
  22. [32]Yang S. Y., O’Cearbhaill E. D., Sisk G. C., Park K. M., Cho W. K., Villiger M., Bouma B. E., Pomahac B., Karp J. M., A bio-inspired swellable microneedle adhesive for mechanical interlocking with tissue. Nat. Commun. 4, 1702 (2013). 23591869 PMC3660066
  23. [33]Huang X., Liu Y., Chen K., Shin W.-J., Lu C.-J., Kong G.-W., Patnaik D., Lee S.-H., Cortes J. F., Rogers J. A., Stretchable, wireless sensors and functional substrates for epidermal characterization of sweat. Small 10, 3083– 3090 (2014). 24706477
  24. [34]Rose D. P., Ratterman M. E., Griffin D. K., Hou L., Kelley-Loughnane N., Naik R. R., Hagen J. A., Papautsky I., Heikenfeld J. C., Adhesive RFID sensor patch for monitoring of sweat electrolytes. IEEE Trans. Biomed. Eng. 62, 1457– 1465 (2015). 25398174
  25. [35]Harvey C. J., LeBouf R. F., Stefaniak A. B., Formulation and stability of a novel artificial human sweat under conditions of storage and use. Toxicol. In Vitro 24, 1790– 1796 (2010). 20599493
  26. [36]D. S. Young, D. W. Thomas, R. B. Friedman, L. C. Pestaner, Effects of drugs on clinical laboratory tests (AACC Press, ed.4, 1995). pp. 374–391.
  27. [37]Tang Z., Du X., Louie F. R., Kost J. G., Effects of drugs on glucose measurements with handheld glucose meters and a portable glucose analyzer. Am. J. Clin. Pathol. 113, 75– 86 (2000). 10631860
  28. [38]Hirst J. A., Farmer A. J., Ali R., Roberts N. W., Stevens R. J., Quantifying the effect of metformin treatment and dose on glycemic control. Diabetes Care 35, 446– 454 (2012). 22275444 PMC3263873
  29. [39]Moon G. D., Choi S.-W., Cai X., Li W., Cho E. C., Jeong U., Wang L. V., Xia Y., A new theranostic system based on gold nanocages and phase-change materials with unique features for photoacoustic imaging and controlled release. J. Am. Chem. Soc. 133, 4762– 4765 (2011). 21401092 PMC3073071
  30. [40]Prausnitz M. R., Microneedles for transdermal drug delivery. Adv. Drug Deliv. Rev. 56, 581– 587 (2004). 15019747
  31. [41]Nakamura K., Morrison S. F., A thermosensory pathway that controls body temperature. Nat. Neurosci. 11, 62– 71 (2008). 18084288 PMC2423341
  32. [42]Sambol N. C., Chiang J., O’Conner M., Liu C. Y., Lin E. T., Goodman A. M., Benet L. Z., Karam J. H., Pharmacokinetics and pharmacodynamics of metformin in healthy subjects and patients with noninsulin-dependent diabetes mellitus. J. Clin. Pharmacol. 36, 1012– 1021 (1996). 8973990

Cited by

Sorted by citations

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
Venue
Science Advances
Published
2017-03-03
Volume
3
Issue
3
Pages
e1601314-e1601314
ISSN
2375-2548 (ISSN-L)
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
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 ›

Are you an author, or do you see a problem with this page? Request a review