Evidence map›Paper›PMID 32923646›Full record

ArticleScience advances2020

Glove-based sensors for multimodal monitoring of natural sweat.

Mallika Bariya, Lu Li, Rahul Ghattamaneni, Christine Heera Ahn, Hnin Yin Yin Nyein, Li-Chia Tai, Ali Javey

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
7.4field-weighted citation impact, top 2% of its field
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

39 citing papers in PubMed, 144 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. From Lab to Life: Self-Powered Sweat Sensors and Their Future in Personal Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  10. Article
  11. Wearable Electrochemical Biosensors for Advanced Healthcare Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Metaverse Wearables for Immersive Digital Healthcare: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  18. Review
  19. Article
  20. 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

7 authors at 2 institutions in 1 country.

Mallika BariyaDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.ORCID 0000-0002-3416-8157
Lu LiDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.
Rahul GhattamaneniDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.ORCID 0000-0003-2017-289X
Christine Heera AhnDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.ORCID 0000-0003-1143-9740
Hnin Yin Yin NyeinDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.ORCID 0000-0002-5692-6182
Li-Chia TaiDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.ORCID 0000-0001-7042-5109
Ali JaveyDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.ORCID 0000-0001-7214-7931
Lawrence Berkeley National Laboratory · USUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sweat sensors targeting exercise or chemically induced sweat have shown promise for noninvasive health monitoring. Natural thermoregulatory sweat is an attractive alternative as it can be accessed during routine and sedentary activity without impeding user lifestyles and potentially preserves correlations between sweat and blood biomarkers. We present simple glove-based sensors to accumulate natural sweat with minimal evaporation, capitalizing on high sweat gland densities to collect hundreds of microliters in just 30 min without active sweat stimulation. Sensing electrodes are patterned on nitrile gloves and finger cots for in situ detection of diverse biomarkers, including electrolytes and xenobiotics, and multiple gloves or cots are worn in sequence to track overarching analyte dynamics. Direct integration of sensors into gloves represents a simple and low-overhead scheme for natural sweat analysis, enabling sweat-based physiological monitoring to become practical and routine without requiring highly complex or miniaturized components for analyte collection and signal transduction.

Identifiers

PMID32923646
PMCPMC7455190
OpenAlexW3082300378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.