Evidence map›Paper›PMID 40474407›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2025

Ionic Conductive Textiles for Wearable Technology.

Lingtao Fang, Yunlu Zhou, Qiyao Huang

Abstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Ionic Conductive Textiles for Wearable Technology.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  5. Review
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.

Lingtao FangSchool of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong, SAR, 999077, China.
Yunlu ZhouSchool of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong, SAR, 999077, China.
Qiyao HuangSchool of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong, SAR, 999077, China.ORCID https://orcid.org/0000-0001-8233-1804

Funding

General Research Fund of Hong Kong 15203824Hong Kong PhD Fellowship Scheme PF22-74341NSFC/RGC Collaborative Research Scheme CRS_PolyU504/22RI-Wear Seed Fund of PolyU 1-CD8DYoung Scientists Fund from the National Natural Science Foundation of China 52203318
6 · The paper itself

Abstract

Soft ionic conductors, characterized by their inherent flexibility and tissue-like ion dynamics, are ideal for intimate applications such as wearable electronics for sensing, energy harvesting, signal transmission, and bioelectronics applications. Shaping ionic conductors into fiber and textile formats (i.e., ionic conductive textiles) to replace the focus on rigid electron-based conductors heralds a transformative technology in wearable electronics and smart textiles, offering advantages that align with human-device compatibility, wearability, and sustainability demands. In this review, the category of ionic conductors, the essential characteristics of ionic conductors, the methodologies for the fabrication and integration of ionic conductive textiles, and the diverse applications of these textile-based soft ionic conductors are summarized. By providing perspectives and raising potential challenges on the future design and development of ionic conductive textiles in terms of sustainability, wearability, fabrication strategies, and integration with electrical systems, this review aims to highlight the potential of ionic conductors as key components for the next generation of wearable technologies and electronic textiles.

Indexed as

ionic conductive textilesionic conductorswearable technologies

Identifiers

PMID40474407
PMCPMC12676075

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.