Evidence map›Paper›PMID 40115241›Full record

ArticleComputational and structural biotechnology journal2025

Evaluation of the impact of printing and embroidery parameters in the process of obtaining utility comfort sensors used in protective clothing dedicated to premature babies.

Ewa Skrzetuska, Grzegorz Szparaga, Karolina Wilgocka

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. 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.

Ewa SkrzetuskaLodz University of Technology, Faculty of Material Technologies and Textile Design, Textile Institute, 116 Żeromskiego Street, Lodz 90-924, Poland.
Grzegorz SzparagaLodz University of Technology, Faculty of Material Technologies and Textile Design, Textile Institute, 116 Żeromskiego Street, Lodz 90-924, Poland.
Karolina WilgockaTricomed SA, 5/9 Świętojańska Street, Lodz 93-493, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biophysical comfort is one of the most important criteria for evaluating children's clothing products, as it contributes to maintaining to the thermal balance between the human body and the surrounding environment in which the newborn resides. This article describes the influence of screen printing and machine embroidery on the development of sensors designed to measure skin parameters such as temperature and humidity using a paste containing carbon nanotubes and four different electrically conductive yarns. An additional parameter examined was the embroidery (density, with two variants: 80 % filling and 60 % filling). The experimental part of the research involved testing surface mass, material thickness, air permeability, heat resistance and water vapor resistance as well as assessing sensory and conductive properties. All prints and embroideries discussed in the study were applied to the author's original three-layer system which has thermal resistance and water vapor resistance properties at levels that ensure the safety of prematurely born children by protecting them from excessive moisture loss and maintaining thermal comfort when they are outside the incubator. The resistance of all electrodes was below 12.22 Ω, both for samples after the washing and sterilization processes.

Indexed as

Biophysical comfortElectrically conductive fibersEmbroideryPerformance propertiesPrintingSensory comfortThermal insulation

Identifiers

PMID40115241
PMCPMC11925175

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.