Evidence map›Paper›PMID 35319971›Full record

ArticleScience advances2022

Wearable plasmonic paper-based microfluidics for continuous sweat analysis.

Umesha Mogera, Heng Guo, Myeong Namkoong, Md Saifur Rahman, Tan Nguyen, Limei Tian

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Microfluidic valves for wearable sweat analysis: a review.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Review
  2. Review
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  4. Review
  5. Review
  6. Article
  7. Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Recent Advances in Reactive Microdroplets for Clean Water and Energy.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  15. Photonic Nanomaterials for Wearable Health Solutions.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review

5 more citing papers are in PubMed but not listed here.

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

6 authors.

Umesha MogeraDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-6527-8906
Heng GuoDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-7493-3773
Myeong NamkoongDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-9209-7721
Md Saifur RahmanDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-0726-2399
Tan NguyenDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-1626-4628
Limei TianDepartment of Biomedical Engineering, Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-1931-8567

Funding

Refreshable Biosensors for Continuous Renal Function MonitoringR21EB029064 · NIBIB · TEXAS ENGINEERING EXPERIMENT STATION · PI TIAN, LIMEI · 2020 to 2020
$589k
NIBIB NIH HHS R21 EB029064
6 · The paper itself

Abstract

Wearable sweat sensors have the potential to provide clinically meaningful information associated with the health and disease states of individuals. Current sensors mainly rely on enzymes and antibodies as biorecognition elements to achieve specific quantification of metabolite and stress biomarkers in sweat. However, enzymes and antibodies are prone to degrade over time, compromising the sensor performance. Here, we introduce a wearable plasmonic paper-based microfluidic system for continuous and simultaneous quantitative analysis of sweat loss, sweat rate, and metabolites in sweat. Plasmonic sensors based on label-free surface-enhanced Raman spectroscopy (SERS) can provide chemical "fingerprint" information for analyte identification. We demonstrate the sensitive detection and quantification of uric acid in sweat at physiological and pathological concentrations. The well-defined flow characteristics of paper microfluidic devices enable accurate quantification of sweat loss and sweat rate. The wearable plasmonic device is soft, flexible, and stretchable, which can robustly interface with the skin without inducing chemical or physical irritation.

Identifiers

PMID35319971
PMCPMC8942375

What OpenQuestion holds

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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 OpenQuestion graph.