Evidence map›Paper›PMID 40006127›Full record

ArticlePolymers2025

Enhancing Piezoelectricity of Polyacrylonitrile-Cellulose Composite Nanofibers via Zigzag Conformation.

Joong Yeon Lim, Won Suk Kwak, Minwook Park, Young Seong Kim

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. 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

4 authors.

Joong Yeon LimDepartment of Mechanical, Robotics and Energy Engineering, Dongguk University, Jung-gu, Seoul 04620, Republic of Korea.ORCID 0000-0003-3223-7523
Won Suk KwakDepartment of Mechanical, Robotics and Energy Engineering, Dongguk University, Jung-gu, Seoul 04620, Republic of Korea.
Minwook ParkDepartment of Mechanical, Robotics and Energy Engineering, Dongguk University, Jung-gu, Seoul 04620, Republic of Korea.
Young Seong KimDepartment of Mechanical, Robotics and Energy Engineering, Dongguk University, Jung-gu, Seoul 04620, Republic of Korea.ORCID 0000-0003-0783-6997

Funding

Ministry of science and ICT 2018R1A5A7023490
6 · The paper itself

Abstract

A novel piezoelectric material, polyacrylonitrile (PAN) nanofibers, exhibits significant piezoelectric effects when a high content of planar zigzag structures is present. To enhance the contribution of planar zigzag structures to energy conversion while preserving the structure of PAN nanofibers, a novel approach was developed to increase planar zigzag content by incorporating cellulose nanocrystals (CNCs) rather than modifying conventional synthesis conditions. In this study, CNCs were introduced during the electrospinning process of PAN formation, and the increased planar zigzag content was confirmed through X-ray diffraction (XRD), electrical characterization, and Fourier transform infrared spectroscopy (FTIR) analyses. This study, for the first time, demonstrates that CNC addition to PAN enhances the mechanical properties and piezoelectric performance by promoting the formation of zigzag structures, which play a crucial role in the piezoelectric effect. The PAN-CNC composite holds great potential for applications in new piezoelectric devices. With CNC incorporation, the voltage increased by 68.9%, and the current increased by 80% compared to regular PAN. The generated energy is suitable for human applications and can also power commercial devices, making these findings pivotal for the advancement of piezoelectric materials and devices.

Indexed as

cellulose nanocrystalcompositepiezoelectricpolyacrylonitrilezigzag confirmation

Identifiers

PMID40006127
PMCPMC11860044

What OpenQuestion holds

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LicenceCC BY
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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.