Evidence map›Paper›PMID 40969015›Full record

ArticleSensors (Basel, Switzerland)2025

Wearable Device for Continuous and Real-Time Monitoring of Human Sweat Sodium.

Anas Mohd Noor, Muhammad Salman Al Farisi, Mazlee Mazalan, Nur Fatin Adini Ibrahim, Asnida Abdul Wahab, Zulkarnay Zakaria, Nurul Izni Rusli, Norhayati Sabani, Asrulnizam Abd Manaf

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

9 authors.

Anas Mohd NoorFaculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0002-0410-3635
Muhammad Salman Al FarisiDepartment of Biomedical Information Sciences, Hiroshima City University, Hiroshima 731-3194, Japan.ORCID 0000-0003-4870-9337
Mazlee MazalanFaculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0002-4946-2893
Nur Fatin Adini IbrahimFaculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0002-8900-8337
Asnida Abdul WahabDepartment of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.ORCID 0000-0003-3222-1732
Zulkarnay ZakariaFaculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0003-4490-7336
Nurul Izni RusliFaculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0001-8815-321X
Norhayati SabaniFaculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0002-5354-332X
Asrulnizam Abd ManafCollaborative Microelectronic Design Excellence Center, Universiti Sains Malaysia, Bayan Lepas 11900, Malaysia.ORCID 0000-0002-6198-263X

Funding

MOHE MALAYSIA FRGS/1/2019/TK05/UNIMAP/03/6
6 · The paper itself

Abstract

Wearable sweat-sensing devices hold significant potential for non-invasive, continuous health monitoring. However, challenges such as ensuring data accuracy, sensor reliability, and measurement stability persist. This study presents the development of a wearable system for the real-time monitoring of human sweat sodium levels, addressing these challenges through the integration of a novel microfluidic chip and a compact potentiostat. The microfluidic chip, fabricated using hydrophilic materials and designed with vertical channels, optimizes sweat flow, prevents backflow, and minimizes sample contamination. The developed wearable potentiostat, as a measurement device, precisely measures electrical currents across a wide dynamic range, from nanoamperes to milliamperes. Validation results demonstrated accurate sodium concentration measurements ranging from 10 mM to 200 mM, with a coefficient of variation below 4% and excellent agreement with laboratory instruments (intraclass correlation = 0.998). During physical exercise, the device measured a decrease in sweat sodium levels, from 101 mM to 67 mM over 30 min, reflecting typical physiological responses to sweating. These findings confirm the system's reliability in providing continuous, real-time sweat sodium monitoring. This work advances wearable health-monitoring technologies and lays the groundwork for applications in fitness optimization and personalized hydration strategies. Future work will explore multi-biomarker integration and broader clinical trials to further validate the system's potential.

Indexed as

Biosensing TechniquesSodiumSweatWearable Electronic DevicesHumansLab-On-A-Chip DevicesMonitoring, PhysiologicSodiummicrofluidic chipsweat sodium measurementwearable device

Identifiers

PMID40969015
PMCPMC12158302

What OpenQuestion 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 OpenQuestion graph.