Evidence map›Paper›PMID 38495973›Full record

ArticleAdvanced fiber materials2024

MXene/Cellulose Composite Cloth for Integrated Functions (

Jian Chang, Bo Pang, Hao Zhang, Kanglei Pang, Miao Zhang, Jiayin Yuan

Abstract read
In one paragraph

Article in Advanced fiber materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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.

Jian ChangDepartment of Materials and Environmental Chemistry, Stockholm University, 10691 Stockholm, Sweden.
Bo PangDepartment of Materials and Environmental Chemistry, Stockholm University, 10691 Stockholm, Sweden.
Hao ZhangDepartment of Materials and Environmental Chemistry, Stockholm University, 10691 Stockholm, Sweden.
Kanglei PangDepartment of Materials and Environmental Chemistry, Stockholm University, 10691 Stockholm, Sweden.
Miao ZhangDepartment of Materials and Environmental Chemistry, Stockholm University, 10691 Stockholm, Sweden.
Jiayin YuanDepartment of Materials and Environmental Chemistry, Stockholm University, 10691 Stockholm, Sweden.ORCID 0000-0003-1016-5135

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the abundant solar light available on our planet, it is promising to develop an advanced fabric capable of simultaneously providing personal thermal management and facilitating clean water production in an energy-efficient manner. In this study, we present the fabrication of a photothermally active, biodegradable composite cloth composed of titanium carbide MXene and cellulose, achieved through an electrospinning method. This composite cloth exhibits favorable attributes, including chemical stability, mechanical performance, structural flexibility, and wettability. Notably, our 0.1-mm-thick composite cloth (RC/MXene IV) raises the temperature of simulated skin by 5.6 °C when compared to a commercially available cotton cloth, which is five times thicker under identical ambient conditions. Remarkably, the composite cloth (RC/MXene V) demonstrates heightened solar light capture efficiency (87.7%) when in a wet state instead of a dry state. Consequently, this cloth functions exceptionally well as a high-performance steam generator, boasting a superior water evaporation rate of 1.34 kg m Graphical Abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s42765-023-00345-w.

Indexed as

Composite clothPersonal heatingSolar heatingSteam generation

Identifiers

PMID38495973
PMCPMC10943173

What OpenQuestion holds

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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.