Evidence map›Paper›PMID 31261708›Full record

ArticleNanomaterials (Basel, Switzerland)2019

Highly Stretchable and Self-Healing Strain Sensors Based on Nanocellulose-Supported Graphene Dispersed in Electro-Conductive Hydrogels.

Chunxiao Zheng, Yiying Yue, Lu Gan, Xinwu Xu, Changtong Mei, Jingquan Han

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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.

Chunxiao ZhengCollege of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Yiying YueCollege of Biology and Environment, Nanjing Forestry University, Nanjing 210037, China.
Lu GanCollege of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Xinwu XuCollege of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Changtong MeiCollege of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China. mei@njfu.edu.cn.ORCID 0000-0001-8635-0762
Jingquan HanCollege of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China. hjq@njfu.edu.cn.ORCID 0000-0002-1306-5431

Funding

National Natural Science Foundation of China 31770609
6 · The paper itself

Abstract

Intrinsic self-healing and highly stretchable electro-conductive hydrogels demonstrate wide-ranging utilization in intelligent electronic skin. Herein, we propose a new class of strain sensors prepared by cellulose nanofibers (CNFs) and graphene (GN) co-incorporated poly (vinyl alcohol)-borax (GN-CNF@PVA) hydrogel. The borax can reversibly and dynamically associate with poly (vinyl alcohol) (PVA) and GN-CNF nanocomplexes as a cross-linking agent, providing a tough and flexible network with the hydrogels. CNFs act as a bio-template and dispersant to support GN to create homogeneous GN-CNF aqueous dispersion, endowing the GN-CNF@PVA gels with promoted mechanical flexibility, strength and good conductivity. The resulting composite gels have high stretchability (break-up elongation up to 1000%), excellent viscoelasticity (storage modulus up to 3.7 kPa), rapid self-healing ability (20 s) and high healing efficiency (97.7 ± 1.2%). Due to effective electric pathways provided by GN-CNF nanocomplexes, the strain sensors integrated by GN-CNF@PVA hydrogel with good responsiveness, stability and repeatability can efficiently identify and monitor the various human motions with the gauge factor (GF) of about 3.8, showing promising applications in the field of wearable sensing devices.

Indexed as

boraxconductivegraphenehydrogelnanocellulosepoly (vinyl alcohol)self-healingstrain sensorstretchableviscoelasticity

Identifiers

PMID31261708
PMCPMC6669678

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.