Evidence map›Paper›PMID 31948041›Full record

ArticlePolymers2020

Antibacterial, Flexible, and Conductive Membrane Based on MWCNTs/Ag Coated Electro-Spun PLA Nanofibrous Scaffolds as Wearable Fabric for Body Motion Sensing.

Lu Gan, Aobo Geng, Ying Wu, Linjie Wang, Xingyu Fang, Lijie Xu, Changtong Mei

Abstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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

7 authors.

Lu GanCollege of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Aobo GengCollege of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Ying WuCollege of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Linjie WangCollege of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Xingyu FangCollege of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Lijie XuCollege of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0003-3396-6103
Changtong MeiCollege of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0001-8635-0762

Funding

Natural Science Foundation of China 51708297Natural Science Foundation of Jiangsu Province BK20160938
6 · The paper itself

Abstract

In the present study, flexible and conductive nanofiber membranes were prepared by coating PLA nanofibrous scaffolds with carbon nanotubes and silver nanoparticles. The morphology and structure of the prepared membrane was characterized, as well as its mechanical properties, electrical sensing behavior during consecutive stretching-releasing cycles and human motion detecting performance. Furthermore, the antibacterial properties of the membrane was also investigated. Due to the synergistic and interconnected three-dimensional (3D) conductive networks, formed by carbon nanotubes and silver nanoparticles, the membrane exhibited repeatable and durable strain-dependent sensitivity. Further, the prepared membrane could accurately detect the motions of different body parts. Accompanied with promising antibacterial properties and washing fastness, the prepared flexible and conductive membrane provides great application potential as a wearable fabric for real-time body motion sensing.

Indexed as

antibacterial propertiescarbon nanotubeselectrical propertiesflexible membranePLA nanofibersilver

Identifiers

PMID31948041
PMCPMC7022570

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.