Evidence map›Paper›PMID 31569828›Full record

ArticlePolymers2019

Hybrid Nanocomposites of Cellulose/Carbon-Nanotubes/Polyurethane with Rapidly Water Sensitive Shape Memory Effect and Strain Sensing Performance.

Guanzheng Wu, Yanjia Gu, Xiuliang Hou, Ruiqing Li, Huizhen Ke, Xueliang Xiao

Open access · goldAbstract 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 53 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Guanzheng WuKey Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China. 18084721450@163.com.
Yanjia GuKey Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China. yanjiagu1984@163.com.
Xiuliang HouKey Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China. kehuilzhen2013@163.com.
Ruiqing LiKey Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China. LiRuiqing_1997@163.com.
Huizhen KeFujian Key Laboratory of Novel Functional Textile Fibers and Materials, Minjiang University, Fuzhou 350108, China. kehuizhen2013@163.com.ORCID 0000-0002-7031-588X
Xueliang XiaoKey Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China. xiao_xueliang@163.com.
Jiangnan University · CNMinjiang University · CN

Funding

National Natural Science Foundation of China 51703083Natural Science Foundation of Jiangsu Province BK20160157Open Project Program of Fujian Key Laboratory of Novel Functional Textile Fibers and Materials (Minjiang University) FKLTFM1706ostgraduate Scientific Research and Practical Innovation in Jiangnan University Plan JNKY19_031
6 · The paper itself

Abstract

In this work, a fast water-responsive shape memory hybrid polymer based on thermoplastic polyurethane (TPU) was prepared by crosslinking with hydroxyethyl cotton cellulose nanofibers (CNF-C) and multi-walled carbon nanotubes (CNTs). The effect of CNTs content on the electrical conductivity of TPU/CNF-C/CNTs nanocomposite was investigated for the feasibility of being a strain sensor. In order to know its durability, the mechanical and water-responsive shape memory effects were studied comprehensively. The results indicated good mechanical properties and sensing performance for the TPU matrix fully crosslinked with CNF-C and CNTs. The water-induced shape fixity ratio (

Indexed as

hybrid nanocompositesrapid recoverysharp memory polymerstrain sensor

Identifiers

PMID31569828
PMCPMC6835329
OpenAlexW2975985056

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.