Evidence map›Paper›PMID 40219310›Full record

ArticlePolymers2025

Self-Adhesive and Reprocessable Ionogel Sensor from Controllable Ionized Corncob Cellulose.

Jialin Jian, Jiaqi Su, Yujian Song, Jingshun Wang, Jie Cong, Shuangying Wei, Zhenhua Gao, Shuaiyuan Han

Abstract read
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Jialin JianCollege of Material Science and Engineering, Northeast Forestry University, Harbin 150040, China.
Jiaqi SuCollege of Material Science and Engineering, Northeast Forestry University, Harbin 150040, China.
Yujian SongCollege of Material Science and Engineering, Northeast Forestry University, Harbin 150040, China.
Jingshun WangCollege of Material Science and Engineering, Northeast Forestry University, Harbin 150040, China.
Jie CongCollege of Material Science and Engineering, Northeast Forestry University, Harbin 150040, China.
Shuangying WeiCollege of Material Science and Engineering, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0002-4192-3245
Zhenhua GaoCollege of Material Science and Engineering, Northeast Forestry University, Harbin 150040, China.
Shuaiyuan HanCollege of Material Science and Engineering, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0003-0490-2696

Funding

China Postdoctoral Science Foundation 2024M760383Key R&D Program of Heilongjiang Province GZ20220134the Fundamental Research Funds for the Central Universities 2572022BB02, 2572023CT05-03
6 · The paper itself

Abstract

In recent years, the disposal of agricultural lignocellulosic residues has been accompanied by problems such as resource waste and environmental pollution. Therefore, the development of valorization technologies has emerged as a strategic priority in sustainable materials science. This study pioneered the use of corncob cellulose as the substrate (a representative agricultural lignocellulosic residue) and transformed it into ionized cellulose by grafting methacryloxyethyl trimethyl ammonium chloride (DMC) via atom transfer radical polymerization (ATRP) and UV-initiated polymerization. Characterizations demonstrated exceptional properties: robust mechanical strength (1.28 MPa tensile strength with 573% elongation); outstanding thermal stability (stable to 278 °C); cryogenic tolerance (retaining flexibility at -25 °C); and universal adhesion capability (4.23 MPa to glass substrates, with adequate interfacial bonding across diverse surfaces). Meanwhile, the ionogel exhibited exceptional sensing sensitivity (gauge factor, GF = 1.23-2.08), demonstrating versatile application potential in wearable electronics. It achieved the precise detection of subtle strains (1-5% strain range) and the high-fidelity acquisition of electrocardiogram (ECG) signals. This study broadens the design paradigm of agricultural lignocellulosic residue-based functional materials. It also provides a novel technical pathway to develop eco-friendly intelligent sensors.

Indexed as

ATRPcorncob celluloseionogelsensor

Identifiers

PMID40219310
PMCPMC11991430

What OpenQuestion holds

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Registered trials

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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.