Evidence map›Paper›PMID 35562402›Full record

ArticleScientific reports2022

Development of a textile based protein sensor for monitoring the healing progress of a wound.

Yomna ElSaboni, John A Hunt, Jessica Stanley, Christine Moffatt, Yang Wei

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Yomna ElSaboniSmart Wearable Research group, Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham, NG11 8NS, UK. yomna.elsaboni@ntu.ac.uk.
John A HuntMedical Technologies Innovation Facility, Nottingham Trent University, Nottingham, NG11 8NS, UK.
Jessica StanleySmart Wearable Research group, Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham, NG11 8NS, UK.
Christine MoffattSkin Integrity, Institute care excellence, Nottingham University Hospital, Nottingham, NG5 1PB, UK.
Yang WeiSmart Wearable Research group, Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham, NG11 8NS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article focuses on the design and fabrication of flexible textile-based protein sensors to be embedded in wound dressings. Chronic wounds require continuous monitoring to prevent further complications and to determine the best course of treatment in the case of infection. As proteins are essential for the progression of wound healing, they can be used as an indicator of wound status. Through measuring protein concentrations, the sensor can assess and monitor the wound condition continuously as a function of time. The protein sensor consists of electrodes that are directly screen printed using both silver and carbon composite inks on polyester nonwoven fabric which was deliberately selected as this is one of the common backing fabric types currently used in wound dressings. These sensors were experimentally evaluated and compared to each other by using albumin protein solution of pH 7. A comprehensive set of cyclic voltammetry measurements was used to determine the optimal sensor design the measurement of protein in solution. As a result, the best sensor design is comprised of silver conductive tracks but a carbon layer as the working and counter electrodes at the interface zone. This design prevents the formation of silver dioxide and protects the sensor from rapid decay, which allows for the recording of consecutive measurements using the same sensor. The chosen printed protein sensor was able to detect bovine serum albumin at concentrations ranging from 30 to 0.3 mg/mL with a sensitivity of [Formula: see text]A/M. Further testing was performed to assess the sensor's ability to identify BSA from other interferential substances usually present in wound fluids and the results show that it can be distinguishable.

Indexed as

SilverTextilesBandagesCarbonWound HealingCarbonSilver

Identifiers

PMID35562402
PMCPMC9106706

What OpenQuestion holds

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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.