Evidence map›Paper›PMID 39634940›Full record

ArticleNanophotonics (Berlin, Germany)2024

Adaptive fabric with emissivity regulation for thermal management of humans.

Xiansheng Li, Meiling Liu, Ken Chen, Lanxin Li, Gang Pei, Bin Zhao

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Research Progress in Thermal Functional Fibers.Materials (Basel, Switzerland) · 2025
    Review
  3. Article
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.

Xiansheng LiDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.
Meiling LiuNational Synchrotron Radiation Laboratory, School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230029, P.R. China.
Ken ChenDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.
Lanxin LiDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.
Gang PeiDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.
Bin ZhaoDepartment of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.ORCID https://orcid.org/0000-0002-5211-3715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heat generation of the human body dramatically varies between resting and active status, so dynamic heat dissipation is required to ensure optimal thermal comfort. Herein, we propose a spectrally self-adaptive smart fabric (SSSF) by covering polyester fabric with silver nanowires, which autonomously adjusts its emissivity in response to the body's movement status from dry to wet states. During periods of inactivity, the SSSF maintains radiative heat insulation with a low emissivity state of 0.39. Conversely, during vigorous physical activity, its emissivity is improved to 0.83 when the sweat penetrates the SSSF, facilitating greater heat dissipation. Comparative experiments demonstrate the superior thermal management capabilities of the SSSF, with a 19.5 % reduction in heat dissipation power relative to traditional fabrics when in the low emissivity mode, and an impressive 67.6 % enhancement in heat dissipation power as it changes from low to high emissivity mode. This work provides an adaptive approach to emissivity modulation, offering an effective solution for dynamic heat dissipation of humans across various states of activity, thereby enhancing personal thermal comfort.

Indexed as

emissivity modulationradiative heat dissipationsilver nanowiressmart fabric

Identifiers

PMID39634940
PMCPMC11501455

What OpenQuestion holds

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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.