Evidence map›Paper›PMID 40535828›Full record

ArticleACS applied polymer materials2025

Melt Spinning of Thermoplastic Polyurethane-Based Bulk Ionofibers Filled with Carbon Nanotubes.

Claude Huniade, Aurélie Cayla, Tariq Bashir, Nils-Krister Persson

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Article in ACS applied polymer materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0citing papers in PubMed
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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

5 · Who and what money

Authors and funding

4 authors.

Claude HuniadePolymeric E-textiles, The Swedish School of Textiles, University of Borås, Borås 501 90, Sweden.ORCID https://orcid.org/0000-0001-6781-9174
Aurélie CaylaUniversity of Lille, ENSAIT, ULR 2461 - GEMTEX - Génie et Matériaux Textiles, Lille F-59000, France.
Tariq BashirPolymeric E-textiles, The Swedish School of Textiles, University of Borås, Borås 501 90, Sweden.
Nils-Krister PerssonPolymeric E-textiles, The Swedish School of Textiles, University of Borås, Borås 501 90, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ionotronic textiles or i-textiles offer in-air electrochemical applications and sensing due to their ionic character, mimicking phenomena of organisms. To manufacture different i-textiles with unique functions and characteristics, it is necessary to have a range of ionically conductive textile fibers or ionofibers to choose from. However, their means of production are not sufficiently explored to provide knowledge that meets the fabric manufacturing needs. For a textile application, surface functionalization is usually explored as a convenient way to build upon an already known textile material. In contrast, bulk functionalization allows for superior production rate, versatility, and durability. Additionally, the use of the synergy between ionic liquids and carbon nanotubes is seldom explored. Therefore, in this study, melt spinning is investigated regarding the use of an ionic liquid (IL) initially without and ultimately with multiwalled carbon nanotubes (CNTs) for the tailoring of the electrical and mechanical properties of ionofibers. Based on thermoplastic polyurethane (TPU) elastomers, IL-containing pellets are prepared using 1-ethyl-3-methylimidazolium trifluoromethanesulfonate (EMIm OTf) at different weight ratios. About the melt-spun monofilaments, their extrusion temperatures, their morphology through scanning electron microscopy with energy-dispersive X-ray, their fiber conductivity through electrochemical impedance spectroscopy and cyclic voltammetry, and their tensile properties are investigated. An optimum of the ratios of IL and CNTs is observed for the melt-spinning process, which results in fiber conductivities within the range of 10

Indexed as

carbon nanotubesconductive polymer compositesionic liquidsi-textilesmelt-spinningmonofilaments

Identifiers

PMID40535828
PMCPMC12172015

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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.