Evidence map›Paper›PMID 35260579›Full record

ArticleNature communications2022

Liquid metal-tailored gluten network for protein-based e-skin.

Bin Chen, Yudong Cao, Qiaoyu Li, Zhuo Yan, Rui Liu, Yunjiao Zhao, Xiang Zhang, Minying Wu, Yixiu Qin, Chang Sun and 8 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
9.3field-weighted citation impact, top 1% of its field
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

19 citing papers in PubMed, 119 citations in OpenAlex.

  1. Review
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  12. Article
  13. Ultrasonic-Enabled Nondestructive and Substrate-Independent Liquid Metal Ink Sintering.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  14. Review
  15. Liquid Metal Patterning and Unique Properties for Next-Generation Soft Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  16. Review
  17. Engineered biomimetic micro/nano-materials for tissue regeneration.Frontiers in bioengineering and biotechnology · 2023
    Review
  18. Article
  19. 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

18 authors at 4 institutions in 2 countries.

Bin Chen *Institute of Special Materials and Technology, Fudan University, Shanghai, China.
Yudong Cao *Institute of Special Materials and Technology, Fudan University, Shanghai, China.
Qiaoyu Li *Department of Chemistry, Fudan University, Shanghai, China.
Zhuo YanState Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, China.
Rui LiuState Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin, China.
Yunjiao ZhaoState Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin, China.
Xiang ZhangDepartment of Materials Science and NanoEngineering, Rice University, Houston, TX, USA.ORCID http://orcid.org/0000-0003-4004-5185
Minying WuDepartment of Chemistry, Fudan University, Shanghai, China.
Yixiu QinState Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, China.
Chang SunState Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, China.
Wei YaoInstitute of Special Materials and Technology, Fudan University, Shanghai, China.
Ziyi CaoInstitute of Special Materials and Technology, Fudan University, Shanghai, China.
Pulickel M AjayanDepartment of Materials Science and NanoEngineering, Rice University, Houston, TX, USA.ORCID http://orcid.org/0000-0001-8323-7860
Mason Oliver Lam CheeDepartment of Mechanical Engineering, George Mason University, Virginia, VA, USA.
Pei DongDepartment of Mechanical Engineering, George Mason University, Virginia, VA, USA.
Zhaofen LiRENISHAW (Shanghai) Trading CO.LTD, SPD, Shanghai, China.
Jianfeng ShenInstitute of Special Materials and Technology, Fudan University, Shanghai, China. jfshen@fudan.edu.cn.ORCID http://orcid.org/0000-0002-8835-6292
Mingxin YeInstitute of Special Materials and Technology, Fudan University, Shanghai, China. mxye@fudan.edu.cn.
Fudan University · CNGeorge Mason University · USRice University · USTianjin University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Designing electronic skin (e-skin) with proteins is a critical way to endow e-skin with biocompatibility, but engineering protein structures to achieve controllable mechanical properties and self-healing ability remains a challenge. Here, we develop a hybrid gluten network through the incorporation of a eutectic gallium indium alloy (EGaIn) to design a self-healable e-skin with improved mechanical properties. The intrinsic reversible disulfide bond/sulfhydryl group reconfiguration of gluten networks is explored as a driving force to introduce EGaIn as a chemical cross-linker, thus inducing secondary structure rearrangement of gluten to form additional β-sheets as physical cross-linkers. Remarkably, the obtained gluten-based material is self-healing, achieves synthetic material-like stretchability (>1600%) and possesses the ability to promote skin cell proliferation. The final e-skin is biocompatible and biodegradable and can sense strain changes from human motions of different scales. The protein network microregulation method paves the way for future skin-like protein-based e-skin.

Indexed as

GlutensWearable Electronic DevicesHumansIndiumMechanical PhenomenaSkinGlutensIndium

Identifiers

PMID35260579
PMCPMC8904466
OpenAlexW4221023547

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.