Evidence map›Paper›PMID 40468104›Full record

ArticleMikrochimica acta2025

Design of halochromic cellulosic materials and smart textiles for continuous wearable optical monitoring of epidermal pH.

Gerhard J Mohr, Petar Kassal, Iva Žuvić, Krzysztof K Krawczyk, Matthew D Steinberg, Ivana Murković Steinberg

Abstract read
In one paragraph

Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Gerhard J MohrJoanneum Research Forschungsgesellschaft mbH - Materials, Franz-Pichler-Straße 30, Weiz, A-8160, Austria. Gerhard.Mohr@joanneum.at.
Petar KassalFaculty of Chemical Engineering and Technology, University of Zagreb, Marulićev Trg 19, Zagreb, 10000, Croatia.
Iva ŽuvićFaculty of Chemical Engineering and Technology, University of Zagreb, Marulićev Trg 19, Zagreb, 10000, Croatia.
Krzysztof K KrawczykJoanneum Research Forschungsgesellschaft mbH - Materials, Franz-Pichler-Straße 30, Weiz, A-8160, Austria.
Matthew D SteinbergGoSense Wireless Ltd, Cambridge, CB23 6 FN, UK.
Ivana Murković SteinbergFaculty of Chemical Engineering and Technology, University of Zagreb, Marulićev Trg 19, Zagreb, 10000, Croatia. imurkov@fkit.unizg.hr.

Funding

Austrian Research Promotion Agency (FFG) Bridge project FO999915125 "MicroTex"Croatian Science Foundation WearSense HRZZ IP-2022-10-2595
6 · The paper itself

Abstract

The direct on-body monitoring of sweat pH and skin pH can provide vanguard information about a person's health status and overall fitness or wellbeing. Sweat pH in particular is a readily accessible biomarker that may be determined with low-cost, non-invasive epidermal patches. With this in mind, we have created a diverse set of wearable halochromic materials, suitable for real-time and reversible monitoring of epidermal pH. A range of cellulosic materials in the form of nanocrystals, microcellulose particles, transparent cellulose films and paper were covalently functionalised with a 2-hydroxyethylsulfonyl azo pH indicator dye by vinylsulfonyl conjugation. Comparative analysis of the photo-physical and analytical properties was performed, and the apparent acid-base equilibrium constants - pK

Indexed as

CelluloseEpidermisSmart MaterialsTextilesWearable Electronic DevicesHumansHydrogen-Ion ConcentrationSweatCelluloseSmart MaterialsColorimetric sensorsEpidermal pHFunctional cellulose materialsVinylsulfonyl chemistryWearable optoelectronicsWearable pH sensors

Identifiers

PMID40468104
PMCPMC12137401

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.