Evidence map›Paper›PMID 29165991›Full record

ArticleACS nano2018

Ultrastretchable Graphene-Based Molecular Barriers for Chemical Protection, Detection, and Actuation.

Po-Yen Chen, Mengke Zhang, Muchun Liu, Ian Y Wong, Robert H Hurt

Abstract read
In one paragraph

Article in ACS nano, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Mosquito bite prevention through graphene barrier layers.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

5 authors.

Po-Yen ChenDeparment of Chemical and Biomolecular Engineering, National University of Singapore , Singapore 119077.ORCID 0000-0003-0310-4748
Mengke Zhang
Muchun Liu

Funding

Vapor Pressures and Thermodynamic Properties of Complex Organic MixturesP42ES013660 · NIEHS · BROWN UNIVERSITY · PI BOEKELHEIDE, KIM · 2005 to 2020
$37.7M
NIEHS NIH HHS P42 ES013660
6 · The paper itself

Abstract

A wide range of technologies requires barrier films to impede molecular transport between the external environment and a desired internal microclimate. Adding stretchability to barrier films would enable the applications in packaging, textiles, and flexible devices, but classical barrier materials utilize dense, ordered molecular architectures that easily fracture under small tensile strain. Here, we show that textured graphene-based coatings can serve as ultrastretchable molecular barriers expandable to 1500% areal strain through programmed unfolding that mimics the elasticity of polymers. These coatings retain barrier function under large deformation and can be conformally applied to planar or curved surfaces, where they are washfast and mechanically robust to cycling. These graphene-polymer bilayer structures also function as sensors or actuators by transducing chemical stimuli into mechanical deformation and electrical resistance change through asymmetric polymer swelling. These results may enable multifunctional fabrics that integrate chemical protection, sensing, and actuation, with further applications as selective barriers, membranes, stretchable electronics, or soft robotics.

Indexed as

ElasticityMembranes, ArtificialDiffusionElectronicsGraphiteHumansModels, MolecularNanostructuresPolymersProtective ClothingRoboticsTextilesWearable Electronic DevicesGraphiteMembranes, ArtificialPolymersbroad-range chemical rejectionchemomechanical actuatorschemoresistive sensorsgraphene oxide membraneultrastretchable molecular barriers

Identifiers

PMID29165991
PMCPMC5780244

What OpenQuestion holds

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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.