Evidence map›Paper›PMID 31661857›Full record

ArticlePolymers2019

Fabrication of Silk Fibroin/Graphene Film with High Electrical Conductivity and Humidity Sensitivity.

Haoran Zhang, Juntao Zhao, Tieling Xing, Shenzhou Lu, Guoqiang Chen

Abstract read
In one paragraph

Article in Polymers, 2019. 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. Review
  2. Article
  3. Article
  4. ConductiveACS omega · 2021
    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

5 authors.

Haoran ZhangNational Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China. 20174215030@stu.suda.edu.cn.
Juntao ZhaoNational Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China. 20185215009@stu.suda.edu.cn.
Tieling XingNational Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China. xingtieling@suda.edu.cn.ORCID 0000-0002-4136-3137
Shenzhou LuNational Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China. lushenzhou@suda.edu.cn.ORCID 0000-0003-4188-2057
Guoqiang ChenNational Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China. chenguojiang@suda.edu.cn.

Funding

Nature Science Foundation of Jiangsu, China No. BK20171239Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions for Textile Engineering in Soochow University PAPDthe National Natural Science Foundation of China No. 51973144, 51741301
6 · The paper itself

Abstract

Silk fibroin (SF) is a natural material with good biocompatibility and excellent mechanical properties, which are complementary to graphene with ultrahigh electrical conductivity. In this study, to maximally combine graphene and silk fibroin, a well-dispersed silk fibroin/graphene suspension was successfully prepared in a simple and effective way. Then we prepared a flexible conductive SF/graphene film with a minimum resistance of 72.1 ± 4.7 Ω/sq by the casting method. It was found that the electrical conductivity of the SF/graphene film was related to the water content of the film, and the variation was more than 200 times. Therefore, it will play an important role in the field of humidity sensors. It also has excellent mechanical properties in both wet and dry states. These unique features make this material a promising future in the fields of biomedical applications, wearable sensors, and implantable internal sensors.

Indexed as

electrically conductiveflexibilitygraphenehumidity sensitivesilk fibroin

Identifiers

PMID31661857
PMCPMC6918398

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.