Evidence map›Paper›PMID 41228712›Full record

ArticlePolymers2025

Sweat-Resistant Parylene-C Encapsulated Conductive Textiles for Active Thermal Management.

Shi Hu, Dan Wang, Mohanapriya Venkataraman, Jiří Militký, Dana Křemenáková, Martin Palušák

Abstract read
In one paragraph

Article in Polymers, 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

6 authors.

Shi HuDepartment of Material Engineering, Faculty of Textile Engineering, Technical University of Liberec, Studenská 1402/2, 46117 Liberec, Czech Republic.ORCID 0000-0001-7997-4112
Dan WangDepartment of Material Engineering, Faculty of Textile Engineering, Technical University of Liberec, Studenská 1402/2, 46117 Liberec, Czech Republic.ORCID 0000-0002-8081-5327
Mohanapriya VenkataramanDepartment of Material Engineering, Faculty of Textile Engineering, Technical University of Liberec, Studenská 1402/2, 46117 Liberec, Czech Republic.ORCID 0000-0002-8977-1244
Jiří MilitkýDepartment of Material Engineering, Faculty of Textile Engineering, Technical University of Liberec, Studenská 1402/2, 46117 Liberec, Czech Republic.ORCID 0000-0001-8480-2622
Dana KřemenákováDepartment of Material Engineering, Faculty of Textile Engineering, Technical University of Liberec, Studenská 1402/2, 46117 Liberec, Czech Republic.
Martin PalušákDepartment of Environmental Chemistry, The Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Studentská 1402/2, 46001 Liberec, Czech Republic.

Funding

Czech Science Foundation Reg. No. 21-32510M
6 · The paper itself

Abstract

The development of electro-thermal textiles has attracted growing interest as a promising approach for active thermal management in wearable systems. Metallic-coated fabrics can efficiently generate heat through the Joule effect; however, their long-term performance and safety are severely limited under perspiration due to metal ion release and corrosion. To overcome these challenges, this study introduces a Parylene-C encapsulation strategy for copper-coated polyethylene terephthalate nonwovens (CuPET) using a chemical vapor deposition (CVD) process. The conformal, biocompatible Parylene-C films (thickness 4-16 μm) act as effective protective barriers while preserving the porous textile structure. Morphological and comfort analyses demonstrate a controlled reduction in air permeability from 3100 to 1100 L·m

Indexed as

chemical vapor deposition (CVD)copper-coated textileelectro-thermal heatingParylene-C encapsulationsmart wearable fabricssweat resistancethermal insulation

Identifiers

PMID41228712
PMCPMC12608824

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.