Evidence map›Paper›PMID 35590970›Full record

ArticleSensors (Basel, Switzerland)2022

Design of a Highly Sensitive Reduced Graphene Oxide/Graphene Oxide@Cellulose Acetate/Thermoplastic Polyurethane Flexible Sensor.

Yujie Yang, Tan Yi, Yang Liu, Hui Zhao, Chen Liang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
2.1field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Environmental and Ecological Monitoring with Biodegradable Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

5 authors at 1 institution in 1 country.

Yujie YangCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
Tan YiCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
Yang LiuCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.ORCID 0000-0001-8104-6462
Hui ZhaoCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.ORCID 0000-0001-8554-9411
Chen LiangCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.ORCID 0000-0003-1284-7607
Guangxi University · CN

Funding

Foundation of Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, College of Light Industry and Food Engineering 2019ZR03Guangxi University and Open Funding Project of the State Key Laboratory of Biocatalysis and Enzyme Engineering SKLBEE2020009National Natural Science Foundation of China 22068004the Natural Science Foundation of Guangxi, China 2020GXNSFAA159027, 2019GXNSFBA185006, 2020GXNSFBA159023
6 · The paper itself

Abstract

As a substitute for rigid sensors, flexible sensing materials have been greatly developed in recent years, but maintaining the stability of conductive fillers and the stability of micro-strain sensing is still a major challenge. In this experiment, we innovatively prepared a polyurethane-based cellulose acetate composite membrane (CA/TPU) with abundant mesopores through electrospinning. Then, we reduced graphene oxide (rGO)-as a conductive filler-and graphene oxide (GO)-as an insulating layer-which were successively and firmly anchored on the CA/TPU nanofiber membrane with the ultrasonic impregnation method, to obtain an rGO/GO@CA/TPU sensor with a GF of 3.006 under a very small strain of 0.5%. The flexibility of the film and its high sensitivity under extremely low strains enables the detection of subtle human motions (such as finger bending, joint motion, etc.), making it suitable for potential application in wearable electronic devices.

Indexed as

GraphiteWearable Electronic DevicesCelluloseHumansPolyurethanesacetylcelluloseCellulosegraphene oxideGraphitePolyurethaneselectrospinningflexible strain sensorhigh sensitivityporous fiber

Identifiers

PMID35590970
PMCPMC9099808
OpenAlexW4224992952

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.