CoChat
Sign Up
PreprintCited by 22Advancements in Transdermal Drug DeliveryMicrofluidic and Capillary Electrophoresis ApplicationsAdvanced Sensor and Energy Harvesting Materials

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A Microneedle Device for Rapid Dermal Interstitial Fluid Sampling

Open access
Hung, Andy H., Rajesh, Netra U., Bermudez, Abel, Boczek, Stephanie M., Garcia-Marqués, Fernando J., Tan, Yee Lin, Hwang, Jihyun (Luna), Sinawang, Prima Dewi, Ilyin, Dan, Jacobson, Gunilla B., Demirci, Utkan, Poplack, Steven P., Pitteri, Sharon J., DeSimone, Joseph M.·2025·Science Advances
DOI 10.1101/2025.03.13.641882PMC PMC12459406

Preprint — published as 10.1126/sciadv.adx5492 · Paper page

Open this paper in CoChat — free account

Abstract

Dermal interstitial fluid (ISF) offers a promising alternative to invasive blood tests and opportunities for novel skin diagnostics. Progress in both the understanding and adoption of ISF tests is hindered by sampling challenges, including lengthy collection times, non-negligible failure rates, variable collection volumes, and inconsistent bioanalyte levels. The causes of many of these issues are not well understood. We demonstrate a microneedle device that is several times faster than state-of-the-art, collecting an average of 15.5 mg of ISF in 5 minutes in humans with near-zero failure rate. This improvement was achieved by designing the spatial pressure gradient driving ISF flow. The influence of penetration depth, collection time, pressure, and age on ISF collection was elucidated, with Darcy’s law explaining multiple observations. A data-driven acceptance criterion of <1% blood contamination for ISF is proposed. The device and findings presented will empower researchers to better conduct robust studies in the development of ISF diagnostics.

Overview

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 · 10.1101/2025.03.13.641882

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cites

  • Global quantification of mammalian gene expression control

    Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 2×

    “MaxQuant software (version 2.6.3, Cox Group, Max Planck Institute) was used for protein identification, intensity-based absolute quantification (iBAQ) 27 , and label-free quantification by the MaxLFQ algorithm 36 .”
    Influential

Flagged first, then by citations

Research works printed but not linked: 35

  1. 10.1038/s41598-018-23062-6 · DOI
  2. 10.1152/physrev.00037.2011 · DOI
  3. 10.1038/s41551-022-00998-9 · DOI
  4. 10.1126/scitranslmed.aaw0285 · DOI
  5. 10.1021/acs.jproteome.7b00642 · DOI
  6. 10.1038/s42003-018-0170-z · DOI
  7. 10.1186/s12944-019-1107-3 · DOI
  8. 10.1016/j.xcrp.2024.101975 · DOI
  9. 10.1016/j.microc.2023.109477 · DOI
  10. 10.1002/adhm.202202564 · DOI
  11. 10.1159/000179159 · DOI
  12. 10.1002/pmic.200600938 · DOI
  13. 10.1046/j.1365-2133.1996.d01-893.x · DOI
  14. 10.1073/pnas.1716772115 · DOI
  15. 10.1089/dia.2005.7.131 · DOI
  16. 10.1126/sciadv.abq2846 · DOI
  17. 10.1126/science.aaa2397 · DOI
  18. 10.1002/adma.202404606 · DOI
  19. 10.1113/expphysiol.1987.sp003085 · DOI
  20. 10.1038/s41587-019-0040-3 · DOI · Paper page
  21. 10.4103/tjps.TJPS_2_17 · DOI
  22. 10.1016/0021-9290(81)90015-4 · DOI
  23. 10.1161/01.RES.19.2.412 · DOI
  24. 10.1186/1471-5945-2-4 · DOI
  25. 10.1515/cclm-2017-0532 · DOI
  26. 10.1093/clinchem/41.10.1522 · DOI · Paper page
  27. 10.1021/acs.analchem.7b04073 · DOI
  28. 10.1111/1523-1747.ep12531833 · DOI
  29. 10.1194/jlr.M055053 · DOI
  30. 10.1021/acs.jproteome.9b00155 · DOI
  31. 10.1038/srep01932 · DOI
  32. 10.1016/0026-2862(86)90055-5 · DOI
  33. 10.1016/j.omtn.2018.03.005 · DOI · Paper page
  34. 10.1074/mcp.M113.031591 · DOI · Paper page
  35. 10.1111/1467-9868.00346 · DOI · Paper page

Metadata

Authors
Hung, A. H., Rajesh, N. U., Bermudez, A., Boczek, S. M., Garcia-Marqués, F. J., Tan, Y. L., Hwang, J. (., Sinawang, P. D., Ilyin, D., Jacobson, G. B., Demirci, U., Poplack, S. P., Pitteri, S. J., & DeSimone, J. M.
Affiliations
  • Stanford Medicine (US)
  • Stanford University (US)
  • Department of Radiology, School of Medicine, Stanford University, CA 94305, USA
Corresponding author
DeSimone, Joseph M.
ORCID
Venue
Science Advances
Publisher
openRxiv
Published
2025-03-15
Volume
11
Issue
39
Pages
eadx5492-eadx5492
ISSN
2375-2548 (ISSN-L)
DOI
10.1101/2025.03.13.641882
PMC
PMC12459406
OpenAlex
W4414533144
Cited by
22
References
1
Citations by year
2026: 22
FWCI
9.31
Type
journal article
Language
en
Open access
Licence
Locations
  • Science Advances (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
Funders
National Cancer Institute (T32CA009695)
Topics
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Advancements in Transdermal Drug Delivery
  • Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
Keywords
dermal interstitial fluid, dermatological diagnosis, Darcy's law, penetration depth, blood contamination, collection time, non-invasive sampling
MeSH terms
Humans, Needles, Skin, Specimen Handling, Extracellular Fluid

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