Evidence map›Paper›PMID 35478543›Full record

ArticleRSC advances2021

Ultrahigh compressibility and superior elasticity carbon framework derived from shaddock peel for high-performance pressure sensing.

Na Zheng, Changzhou Chen, Mengqi Tang, Weixin Wu, Yan Jiang, Douyong Min

Abstract read
In one paragraph

Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Na ZhengGuangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control Nanning 530004 People's Republic of China chenchangzhou@gxu.edu.cn +86-0771-3237305.
Changzhou ChenGuangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control Nanning 530004 People's Republic of China chenchangzhou@gxu.edu.cn +86-0771-3237305.ORCID https://orcid.org/0000-0001-7675-4368
Mengqi TangGuangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control Nanning 530004 People's Republic of China chenchangzhou@gxu.edu.cn +86-0771-3237305.
Weixin WuGuangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control Nanning 530004 People's Republic of China chenchangzhou@gxu.edu.cn +86-0771-3237305.
Yan JiangGuangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control Nanning 530004 People's Republic of China chenchangzhou@gxu.edu.cn +86-0771-3237305.
Douyong MinGuangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control Nanning 530004 People's Republic of China chenchangzhou@gxu.edu.cn +86-0771-3237305.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shaddock peel, a crop by-product mainly composed of cellulose, hemicellulose, lignin, and pectin, was developed as a flexible sensitive material for detecting environmental external pressure. Firstly, a natural carbon framework (C-SPF) with high conductivity was prepared using hydrothermal treatment followed by carbonization. Then, the PDMS elastomer was coated on the C-SPF instead of dense filling to convert the brittle C-SPF into elastic porous materials (M-SPF). Benefiting from the large deformation space of the porous framework and the stable interactions between PDMS and C-SPF, M-SPF exhibited ultrahigh coercibility (up to 99.0% strain) and high elasticity (99.4% height retention for 10 000 cycles at 50.0% strain). The M-SPF-based pressure sensor also exhibited a quick response (loading and unloading times were 20 ms and 30 ms), high sensitivity (63.4 kPa

Identifiers

PMID35478543
PMCPMC9038115

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.