Evidence map›Paper›PMID 37745186›Full record

ArticleJournal of materials science2023

Moving towards in pouch diagnostics for ostomy patients: exploiting the versatility of laser induced graphene sensors.

Conor McCann, Victoria Gilpin, Cameron Scott, L Kirsty Pourshahidi, Chris I R Gill, James Davis

Abstract read
In one paragraph

Article in Journal of materials science, 2023. 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

6 authors.

Conor McCannSchool of Engineering, Ulster University, Belfast, Northern Ireland.
Victoria GilpinSchool of Engineering, Ulster University, Belfast, Northern Ireland.
Cameron ScottSchool of Engineering, Ulster University, Belfast, Northern Ireland.
L Kirsty PourshahidiSchool of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland.
Chris I R GillSchool of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland.
James DavisSchool of Engineering, Ulster University, Belfast, Northern Ireland.ORCID 0000-0003-4284-4431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of a 3D printed sensor for direct incorporation within stoma pouches is described. Laser induced graphene scribed on either side of polyimide film served as the basis of a 2 electrode configuration that could be integrated within a disposable pouch sensor for the periodic monitoring of ileostomy fluid pH. The graphene sensors were characterised using electron microscopy, Raman spectroscopy, DekTak profilometry with the electrochemical properties investigated using both cyclic and square wave voltammetry. Adsorbed riboflavin was employed as a biocompatible redox probe for the voltammetric measurement of pH. The variation in peak position with pH was found to be linear over pH 3-8 with a sub Nernstian response (43 mV/pH). The adsorbed probe was found to be reversible and exhibited minimal leaching through repeated scanning. The performance of the system was assessed in a heterogeneous bacterial fermentation mixture simulating ileostomy fluid with the pH recorded before and after 96 h incubation. The peak profile in the bacterial medium provided an unambiguous signal free from interference with the calculated pH before and after incubation (pH 5.3 to 3.66) in good agreement with that obtained with commercial pH probes. Graphical abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s10853-023-08881-x.

Identifiers

PMID37745186
PMCPMC10511578

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Registered trials

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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.