Evidence map›Paper›PMID 42696256›Full record

ReviewAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2026

Microfluidic valves for wearable sweat analysis: a review.

Haoyu Tang, Mingpeng Yang, Xinyang Wang

Abstract readReview
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In one paragraph

Review in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Haoyu TangSchool of Automation, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Mingpeng YangSchool of Automation, Nanjing University of Information Science and Technology, Nanjing, 210044, China. mpyang@mail.ustc.edu.cn.ORCID http://orcid.org/0000-0001-8181-0248
Xinyang WangSchool of Automation, Nanjing University of Information Science and Technology, Nanjing, 210044, China.

Funding

National Natural Science Foundation of China 32200332National Natural Science Foundation of China 52077105Natural Science Foundation of Jiangsu Province BK20211285
6 · The paper itself

Abstract

Wearable sweat analysis can extend health monitoring from clinics to daily life. However, sweat is produced slowly and at changing rates, which makes sweat handling difficult. During collection and transport, sweat may remain in the device, flow backward, mix with older sweat, or become contaminated. The liquid that reaches the sensor may therefore differ from freshly secreted sweat. Microfluidic valves can control when sweat moves, where it flows, and how it reaches the sensing region. This review compares five valve classes relevant to wearable sweat systems. They are capillary, Tesla, mechanical, stimuli-responsive, and electro-actuated valves. Each class is assessed in terms of its working principle, flow-control function, power requirement, reusability, suitable task, and practical limit. The comparison covers sweat retention, backflow control, time-separated collection, reagent isolation, and replacement of older sweat at the sensor. The reviewed studies are grouped by tested medium and setting, covering laboratory liquids, artificial sweat, collected human sweat, and direct on-body transport. The main unresolved problems are changing sweat rate, deformation during wear, limited reusability, and unstable materials or interfaces. Solving these problems is important for reliable valve operation during long-term wear.

Indexed as

Flow controlMicrofluidic valvesSweat handlingWearable sweat analysis

Identifiers

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.