Evidence map›Paper›PMID 41969388›Full record

ReviewRSC advances2026

Recent advances of wearable electrochemical and optical sensors for sweat pH monitoring.

Maroua Moslah, Chaker Tlili, Chérif Dridi

Abstract readReview
In one paragraph

Review in RSC advances, 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.

Maroua MoslahNANOMISENE Laboratory, LR16CRMN01, Centre for Research on Microelectronics and Nanotechnology of Sousse (CRMN) Technopole of Sousse B.P. 334, Sahloul Sousse 4054 Tunisia cherif.dridi@crmn.rnrt.tn +216 73 823 00 +21698940256.ORCID https://orcid.org/0000-0002-0095-3595
Chaker TliliResearch Center for Precision Medicine and Single-Molecule Diagnostics CIGIT, UCAS China.ORCID https://orcid.org/0000-0002-3604-1416
Chérif DridiNANOMISENE Laboratory, LR16CRMN01, Centre for Research on Microelectronics and Nanotechnology of Sousse (CRMN) Technopole of Sousse B.P. 334, Sahloul Sousse 4054 Tunisia cherif.dridi@crmn.rnrt.tn +216 73 823 00 +21698940256.ORCID https://orcid.org/0000-0002-7219-3740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring the pH of human biofluids provides meaningful information about physiological balance and potential pathological changes. While blood remains the conventional medium for diagnostic evaluation, there has been an increasing focus on external biofluids, such as sweat, that enable non-invasive, continuous health assessment. Recent advances in wearable sensing technologies have resulted in the development of flexible, miniaturized and biocompatible systems that can monitor sweat pH in real time on the body. This review highlights the latest progress in wearable electrochemical and optical sensors designed for sweat pH monitoring. It first outlines the general procedures for sweat pH sensing, including sweat secretion and collection, pH sensing, signal conversion, and data interpretation. Subsequent sections focus on electrochemical approaches, particularly potentiometric sensors based on ion-selective membranes and ion-sensitive field-effect transistor (ISFET) configurations, which are recognized for their high sensitivity and rapid response times. The review further explores optical sensing technologies, such as surface-enhanced Raman scattering (SERS), fluorescence and colorimetric sensors, emphasizing their versatility for visual and spectroscopic detection. Looking ahead, the integration of artificial intelligence, microfluidic systems, and self-powered modules will facilitate the development of fully autonomous, wireless sensing platforms. The convergence of advanced materials, sensor engineering, and digital health technologies is expected to establish wearable sweat pH sensors as a cornerstone of personalized medicine, preventive care, and real-time health tracking.

Identifiers

PMID41969388
PMCPMC13063376

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LicenceCC BY-NC
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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.