Evidence map›Paper›PMID 42114142›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing.

Soyoung Shin, Wei Gao

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Soyoung ShinAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, USA.
Wei GaoAndrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, USA.ORCID https://orcid.org/0000-0002-8503-4562

Funding

Laser-Engraved Wearable Sweat Sensors to Detect and Monitor Cardiometabolic DiseaseR01HL155815 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GAO, WEI · 2021 to 2025
$2.0M
Advanced Research Projects Agency for Health ARPA-H-ICHUB-24-101-504Army Research Office W911NF-23-1-0041National Science Foundation 2145802National Science Foundation 2444815NIH HHS R01HL155815Office of Naval Research N00014-25-1-2258U.S. Army Medical Research Acquisition HT9425-24-1-0249
6 · The paper itself

Abstract

Sweat has emerged as a promising biofluid for wearable health monitoring due to its ability to provide noninvasive and continuous access to a wide range of biomarkers. While advances in sensing materials and device integration have accelerated the field, measurement reliability is fundamentally governed by how sweat is induced, intercepted, transported, and refreshed at the skin-device interface. Outside of exercise or thermal stress, sweat secretion is often low, transient, and spatially heterogeneous, making sweat availability-not sensing chemistry-the primary constraint for continuous monitoring. This Review reframes sweat sampling as an integrated engineering pipeline spanning physiological induction, on-skin capture, directional transport, flow regulation, storage, and outlet-driven refreshment. We summarize sweat gland physiology and compositional dynamics that define biomarker accessibility, compare whole-body, localized thermal, and cholinergic induction strategies, and analyze modern microfluidic architectures designed to sustain temporal resolution under low and variable sweat flux. Particular emphasis is placed on system-level coupling between programmable induction and controlled fluid handling to enable quantitative and long-duration monitoring. By shifting focus from sensing chemistry alone to induction-sampling integration, we outline design principles required to make sweat a reliable and comparable biofluid for real-world wearable applications.

Indexed as

microfluidic architecturessweat inductionsweat physiologysweat transport

Identifiers

PMID42114142
PMCPMC13336000

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.